{"id":340322,"date":"2022-10-27T15:00:18","date_gmt":"2022-10-27T15:00:18","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=340322"},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-29T21:00:00","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=340322","title":{"rendered":"<span>\u0421\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S \u0438 HiSilicon Kunpeng 920<\/span>"},"content":{"rendered":"<div><\/div>\n<div id=\"post-content-body\">\n<div>\n<div class=\"article-formatted-body article-formatted-body article-formatted-body_version-2\">\n<div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\">\n<figure class=\"bordered full-width\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/130\/a04\/3aa\/130a043aa7b9db75230459f38613c570.png\" alt=\"Baikal-S vs Kunpeng 920\" title=\"Baikal-S vs Kunpeng 920\" width=\"1754\" height=\"1240\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/130\/a04\/3aa\/130a043aa7b9db75230459f38613c570.png\"\/><figcaption>Baikal-S vs Kunpeng 920<\/figcaption><\/figure>\n<p>\u041d\u0435\u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u043d\u0430\u0437\u0430\u0434 \u043f\u043e\u044f\u0432\u0438\u043b\u0438\u0441\u044c \u0442\u0435\u0441\u0442\u044b \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 <a href=\"https:\/\/habr.com\/ru\/post\/693180\/\" rel=\"noopener noreferrer nofollow\">\u0411\u0430\u0439\u043a\u0430\u043b-S<\/a>, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u044f \u0440\u0435\u0448\u0438\u043b \u0441\u0440\u0430\u0432\u043d\u0438\u0442\u044c<\/p>\n<p>\u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0434\u0430\u043d\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0441 \u043a\u0438\u0442\u0430\u0439\u0441\u043a\u0438\u043c \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u043c Kunpeng 920 (920-4826), \u043a \u043a\u043e\u0442\u043e\u0440\u043e\u043c\u0443 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u043d\u0430\u0437\u0430\u0434 \u043f\u043e\u043b\u0443\u0447\u0438\u043b \u0434\u043e\u0441\u0442\u0443\u043f.<\/p>\n<hr\/>\n<p>\u0425\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043a\u0438 \u0441\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u0435\u043c\u044b\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u0432:<\/p>\n<div>\n<div class=\"table\">\n<table>\n<tbody>\n<tr>\n<td>\n<p align=\"left\">\n<\/td>\n<td>\n<p align=\"left\"><strong>\u0411\u0430\u0439\u043a\u0430\u043b-S<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>Kunpeng 920<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430<\/p>\n<\/td>\n<td>\n<p align=\"left\">aarch64<\/p>\n<\/td>\n<td>\n<p align=\"left\">aarch64<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">ISA<\/p>\n<\/td>\n<td>\n<p align=\"left\">ARMv8.2-A<\/p>\n<\/td>\n<td>\n<p align=\"left\">ARMv8.2-A<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u041c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430<\/p>\n<\/td>\n<td>\n<p align=\"left\">Cortex-A75<\/p>\n<\/td>\n<td>\n<p align=\"left\">TaiShan v110<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0427\u0430\u0441\u0442\u043e\u0442\u0430   (\u041c\u0413\u0446)<\/p>\n<\/td>\n<td>\n<p align=\"left\">2000<\/p>\n<\/td>\n<td>\n<p align=\"left\">2600<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u042f\u0434\u0440\u0430;   \u041f\u043e\u0442\u043e\u043a\u0438<\/p>\n<\/td>\n<td>\n<p align=\"left\">48<\/p>\n<\/td>\n<td>\n<p align=\"left\">48<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0422\u0435\u0445\u043f\u0440\u043e\u0446\u0435\u0441\u0441   (\u043d\u043c)<\/p>\n<\/td>\n<td>\n<p align=\"left\">16<\/p>\n<\/td>\n<td>\n<p align=\"left\">7<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">TDP (\u0412\u0442)<\/p>\n<\/td>\n<td>\n<p align=\"left\">100<\/p>\n<\/td>\n<td>\n<p align=\"left\">150<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0422\u0438\u043f \u041e\u0417\u0423<\/p>\n<\/td>\n<td>\n<p align=\"left\">DDR4-3200 <\/p>\n<\/td>\n<td>\n<p align=\"left\">DDR4-2933<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0421\u043e\u043a\u0435\u0442<\/p>\n<\/td>\n<td>\n<p align=\"left\">FCLGA-3467<\/p>\n<\/td>\n<td>\n<p align=\"left\">BGA<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u041a\u0430\u043d\u0430\u043b\u043e\u0432   \u041e\u0417\u0423<\/p>\n<\/td>\n<td>\n<p align=\"left\">6<\/p>\n<\/td>\n<td>\n<p align=\"left\">8<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u041c\u0430\u043a\u0441 \u041e\u0417\u0423   (\u0413\u0411)<\/p>\n<\/td>\n<td>\n<p align=\"left\">768<\/p>\n<\/td>\n<td>\n<p align=\"left\">1024<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0413\u0424\u043b\u043e\u043f\u0441 (DP)<\/p>\n<\/td>\n<td>\n<p align=\"left\">384<\/p>\n<\/td>\n<td>\n<p align=\"left\">500<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0413\u0424\u043b\u043e\u043f\u0441 (SP)<\/p>\n<\/td>\n<td>\n<p align=\"left\">768<\/p>\n<\/td>\n<td>\n<p align=\"left\">2000<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0413\u043e\u0434<\/p>\n<\/td>\n<td>\n<p align=\"left\">2021<\/p>\n<\/td>\n<td>\n<p align=\"left\">2019<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p>\u00a0<\/p>\n<p>\u0411\u044b\u043b\u0438 \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u044b \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u0442\u0435\u0441\u0442\u044b:<\/p>\n<ul>\n<li>\n<p>7zip \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u0439 \u0431\u0435\u043d\u0447\u043c\u0430\u0440\u043a<\/p>\n<\/li>\n<li>\n<p>Dhrystone, Whetsone<\/p>\n<\/li>\n<li>\n<p>Coremark<\/p>\n<\/li>\n<li>\n<p>Scimark 2<\/p>\n<\/li>\n<li>\n<p>HPL<\/p>\n<\/li>\n<li>\n<p>Stream<\/p>\n<\/li>\n<li>\n<p>Stockfish<\/p>\n<\/li>\n<li>\n<p>Blender<\/p>\n<\/li>\n<li>\n<p>Geekbench 5<\/p>\n<\/li>\n<\/ul>\n<p>\u041d\u0435\u043c\u0435\u0434\u043b\u0435\u043d\u043d\u043e \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0438\u043c \u043a \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430\u043c, \u0434\u0435\u0442\u0430\u043b\u0438 \u0442\u0435\u0441\u0442\u043e\u0432 \u0441\u043c\u043e\u0442\u0440\u0438\u0442\u0435 \u0434\u0430\u043b\u0435\u0435.<\/p>\n<h2>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b<\/h2>\n<div>\n<div class=\"table\">\n<table>\n<tbody>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\"><strong>\u00a0<\/strong><\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\"><strong>\u00a0<\/strong><\/p>\n<\/td>\n<td colspan=\"2\" data-colwidth=\"50,65\" width=\"50\">\n<p align=\"left\"><strong>\u0411\u0430\u0439\u043a\u0430\u043b-S<\/strong><\/p>\n<\/td>\n<td colspan=\"2\" data-colwidth=\"77,0\" width=\"77\">\n<p align=\"left\"><strong>Kunpeng 920<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" data-colwidth=\"62\" width=\"62\">\n<p align=\"left\"><strong>\u0422\u0435\u0441\u0442<\/strong><\/p>\n<\/td>\n<td rowspan=\"2\" data-colwidth=\"50\" width=\"50\">\n<p align=\"left\"><strong>\u0415\u0434\u0438\u043d\u0438\u0446\u0430 \u0438\u0437\u043c\u0435\u0440\u0435\u043d\u0438\u044f<\/strong><\/p>\n<\/td>\n<td colspan=\"2\" data-colwidth=\"50,65\" width=\"50\">\n<p align=\"left\"><strong>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442<\/strong><\/p>\n<\/td>\n<td colspan=\"2\" data-colwidth=\"77,0\" width=\"77\">\n<p align=\"left\"><strong>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\"><strong>1 \u043f\u043e\u0442\u043e\u043a<\/strong><\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\"><strong>48 \u043f\u043e\u0442\u043e\u043a\u043e\u0432<\/strong><\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\"><strong>1 \u043f\u043e\u0442\u043e\u043a<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>96 (48) \u043f\u043e\u0442\u043e\u043a\u043e\u0432<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">CoreMark<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">13 540<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">647 292<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">18 398<\/p>\n<\/td>\n<td>\n<p align=\"left\">1\u00a0291\u00a0450  <\/p>\n<p align=\"left\">(874\u00a0104)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">Dhrystone<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">DMIPS<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">13 410<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">21 830<\/p>\n<\/td>\n<td>\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">Whetstone<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">MWIPS<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">4 702<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">225 078<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">3 857<\/p>\n<\/td>\n<td>\n<p align=\"left\">362 558<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">HPL 2.3<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">7<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">294<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td>\n<p align=\"left\">327 (194)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">7z<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">Total;<\/p>\n<p align=\"left\">Compress;<\/p>\n<p align=\"left\">Decompress<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">2 378; <\/p>\n<p align=\"left\">2\u00a0400;   <\/p>\n<p align=\"left\">2 356 <\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">90\u00a0039;  <\/p>\n<p align=\"left\">71\u00a0542; <\/p>\n<p align=\"left\">108 536 <\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td>\n<p align=\"left\">194\u00a0573;   <\/p>\n<p align=\"left\">150 105 ;<\/p>\n<p align=\"left\">239\u00a0042<\/p>\n<p align=\"left\"> (119\u00a0705; 101 272; 138 139)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">STREAM<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u041c\u0411\/\u0441 Copy;<\/p>\n<p align=\"left\">Scale;<\/p>\n<p align=\"left\">Add;<\/p>\n<p align=\"left\">Triad<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">81 787;<\/p>\n<p align=\"left\">78\u00a0037;<\/p>\n<p align=\"left\">76\u00a0156;<\/p>\n<p align=\"left\">75 113<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td>\n<p align=\"left\">93\u00a0271; <\/p>\n<p align=\"left\">75\u00a0846;<\/p>\n<p align=\"left\">78\u00a0009;<\/p>\n<p align=\"left\">79 063<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">Blender<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u0421\u0435\u043a\u0443\u043d\u0434<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">16,96<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td>\n<p align=\"left\">8,2 (13,56)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">Stockfish<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">Nodes\/second<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">43 097 684<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td>\n<p align=\"left\">77 469 854<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\"><a href=\"https:\/\/browser.geekbench.com\/v5\/cpu\/compare\/12234693?baseline=11605280\" rel=\"noopener noreferrer nofollow\">Geekbench   5<\/a> [<a href=\"https:\/\/browser.geekbench.com\/v5\/cpu\/compare\/11397156?baseline=17606537\" rel=\"noopener noreferrer nofollow\">2<\/a>]<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">405<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">13 549<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">599<\/p>\n<\/td>\n<td>\n<p align=\"left\">28 112 <\/p>\n<p align=\"left\">(18 817)<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h3>\u041d\u0435\u043c\u043d\u043e\u0433\u043e \u043e\u0431 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u0432 \u0411\u0430\u0439\u043a\u0430\u043b-S \u0438 Kunpeng 920<\/h3>\n<h4>\u0411\u0430\u0439\u043a\u0430\u043b-S<\/h4>\n<p>\u0411\u0430\u0439\u043a\u0430\u043b-S \u2014 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 64 \u0440\u0430\u0437\u0440\u044f\u0434\u043d\u043e\u0439 RISC \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0435 ARM (armv8, aarch64), \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u043d\u0430 \u0447\u0430\u0441\u0442\u043e\u0442\u0435 2 \u0413\u0413\u0446 (\u0432\u043e\u0437\u043c\u043e\u0436\u043d\u0430 2,5 \u0413\u0413\u0446) \u0438\u043c\u0435\u0435\u0442 48 \u044f\u0434\u0435\u0440, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0440\u0435\u0430\u043b\u0438\u0437\u0443\u044e\u0442 \u043c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0443 \u044f\u0434\u0435\u0440 Cortex-A75.<\/p>\n<figure class=\"full-width\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w780q1\/getpro\/habr\/upload_files\/de5\/6e7\/6b6\/de56e76b64bf1929e49d77fa379d3aa1.jpg\" alt=\"\u0411\u043b\u043e\u043a-\u0441\u0445\u0435\u043c\u0430 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S\" title=\"\u0411\u043b\u043e\u043a-\u0441\u0445\u0435\u043c\u0430 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S\" width=\"815\" height=\"1122\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/de5\/6e7\/6b6\/de56e76b64bf1929e49d77fa379d3aa1.jpg\" data-blurred=\"true\"\/><figcaption>\u0411\u043b\u043e\u043a-\u0441\u0445\u0435\u043c\u0430 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/figcaption><\/figure>\n<figure class=\"full-width\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/c0b\/a63\/8d2\/c0ba638d2d8fb59fe8cb4709de712785.png\" alt=\"\u041a\u0440\u0438\u0441\u0442\u0430\u043b\u043b \u0411\u0430\u0439\u043a\u0430\u043b-S\" title=\"\u041a\u0440\u0438\u0441\u0442\u0430\u043b\u043b \u0411\u0430\u0439\u043a\u0430\u043b-S\" width=\"1849\" height=\"1412\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/c0b\/a63\/8d2\/c0ba638d2d8fb59fe8cb4709de712785.png\"\/><figcaption>\u041a\u0440\u0438\u0441\u0442\u0430\u043b\u043b \u0411\u0430\u0439\u043a\u0430\u043b-S<\/figcaption><\/figure>\n<figure class=\"full-width\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/7c6\/198\/d1b\/7c6198d1b7b805e32302fcc7215c442b.png\" alt=\"\u0421\u0445\u0435\u043c\u0430 \u043c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b Cortex-A75\" title=\"\u0421\u0445\u0435\u043c\u0430 \u043c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b Cortex-A75\" width=\"650\" height=\"518\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/7c6\/198\/d1b\/7c6198d1b7b805e32302fcc7215c442b.png\"\/><figcaption>\u0421\u0445\u0435\u043c\u0430 \u043c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b Cortex-A75<\/figcaption><\/figure>\n<p>\u00a0\u041e\u0441\u043e\u0431\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u044f\u0434\u0435\u0440 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b Cortex-A75:<\/p>\n<ul>\n<li>\n<p>64 \u0431\u0438\u0442\u043d\u0430\u044f \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 armv8.2<\/p>\n<\/li>\n<li>\n<p>FP\/SIMD \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u044f VFPv4 \u0438 NEON<\/p>\n<\/li>\n<li>\n<p>\u0412\u043d\u0435\u043e\u0447\u0435\u0440\u0435\u0434\u043d\u043e\u0435 \u0438\u0441\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435<\/p>\n<\/li>\n<li>\n<p>\u041f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u043d\u0438\u0435 \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>\u041f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438<\/p>\n<\/li>\n<li>\n<p>\u041a\u043e\u043d\u0432\u0435\u0439\u0435\u0440 11 \u2013 13 \u0441\u0442\u0430\u0434\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>8 \u043f\u043e\u0440\u0442\u043e\u0432 \u043d\u0430 \u0438\u0441\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435 \u043c\u0438\u043a\u0440\u043e\u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439:           <\/p>\n<ul>\n<li>\n<p>2 \u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0438\/\u0421\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f<\/p>\n<\/li>\n<li>\n<p>2 \u0446\u0435\u043b\u044b\u0445 \u0410\u041b\u0423 (\u0441\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u0441\u0434\u0432\u0438\u0433)<\/p>\n<\/li>\n<li>\n<p>1 \u0431\u043b\u043e\u043a \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>1 \u0410\u041b\u0423 \u0434\u043b\u044f \u0443\u043c\u043d\u043e\u0436\u0435\u043d\u0438\u044f, \u0434\u0435\u043b\u0435\u043d\u0438\u044f<\/p>\n<\/li>\n<li>\n<p>2 \u0431\u043b\u043e\u043a\u0430 SIMD\/FPU<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>3 \u0443\u0440\u043e\u0432\u043d\u0435\u0432\u044b\u0439 \u0434\u0435\u043a\u043e\u0434\u0435\u0440 \u043a\u043e\u043c\u0430\u043d\u0434 (6 \u043c\u0438\u043a\u0440\u043e\u0438\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u0439 \u0437\u0430 \u0446\u0438\u043a\u043b)<\/p>\n<\/li>\n<li>\n<p>\u041a\u0435\u0448\u0438<\/p>\n<ul>\n<li>\n<p>64 \u041a\u0411 L1 \u043a\u044d\u0448 \u043a\u043e\u043c\u0430\u043d\u0434 (4 \u043a\u0430\u043d\u0430\u043b\u044c\u043d\u044b\u0439, \u0430\u0441\u0441\u043e\u0446\u0438\u0430\u0442\u0438\u0432\u043d\u044b\u0439, \u0440\u0430\u0437\u043c\u0435\u0440 \u043b\u0438\u043d\u0438\u0438 64 \u0431\u0430\u0439\u0442\u0430)<\/p>\n<\/li>\n<li>\n<p>64 \u041a\u0411 L1 \u043a\u044d\u0448 \u0434\u0430\u043d\u043d\u044b\u0445 (4 \u043a\u0430\u043d\u0430\u043b\u044c\u043d\u044b\u0439, \u0430\u0441\u0441\u043e\u0446\u0438\u0430\u0442\u0438\u0432\u043d\u044b\u0439, \u0440\u0430\u0437\u043c\u0435\u0440 \u043b\u0438\u043d\u0438\u0438 64 \u0431\u0430\u0439\u0442\u0430)<\/p>\n<\/li>\n<li>\n<p>\u0412 \u0411\u0430\u0439\u043a\u0430\u043b-S 512 \u041a\u0411 L2 \u043d\u0430 1 \u044f\u0434\u0440\u043e (4 \u044f\u0434\u0440\u0430 \u0432 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0435), \u0432 \u0441\u0443\u043c\u043c\u0435 24 \u041c\u0411<\/p>\n<\/li>\n<li>\n<p>\u041a\u044d\u0448 L3: 24 \u041c\u0411 (2 \u041c\u0411 \u0432 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0435)<\/p>\n<\/li>\n<li>\n<p>\u041a\u044d\u0448 L4: 32 \u041c\u0411<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>Kunpeng 920<\/h4>\n<p>Kunpeng 920 \u2014 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043d\u044b\u0439 \u043a\u043e\u043c\u0430\u043d\u0438\u0435\u0439 HiSilicon (\u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442 \u0434\u043b\u044f Huawei) \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0433\u043b\u0443\u0431\u043e\u043a\u043e \u043c\u043e\u0434\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u043c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0435 Arm Cortex-A72 (TaiShan V110). \u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0442 32, 48 \u0438 64 \u044f\u0434\u0435\u0440\u043d\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 (3226, 4826, 6426).<\/p>\n<figure class=\"full-width\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/a0a\/69e\/0b7\/a0a69e0b76f2efee166dac967d41c70a.png\" alt=\"Kunpeng 920\" title=\"Kunpeng 920\" width=\"797\" height=\"603\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/a0a\/69e\/0b7\/a0a69e0b76f2efee166dac967d41c70a.png\"\/><figcaption>Kunpeng 920<\/figcaption><\/figure>\n<figure class=\"full-width\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w780q1\/getpro\/habr\/upload_files\/9ec\/cac\/b22\/9eccacb2284e8175095c455de036c18c.jpg\" alt=\"\u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 Cortex A72 - \u043e\u0441\u043d\u043e\u0432\u0430 TaiShan V110\" title=\"\u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 Cortex A72 - \u043e\u0441\u043d\u043e\u0432\u0430 TaiShan V110\" width=\"768\" height=\"682\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/9ec\/cac\/b22\/9eccacb2284e8175095c455de036c18c.jpg\" data-blurred=\"true\"\/><figcaption>\u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 Cortex A72 &#8212; \u043e\u0441\u043d\u043e\u0432\u0430 TaiShan V110<\/figcaption><\/figure>\n<p>\u041e\u0441\u043e\u0431\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u044f\u0434\u0435\u0440 TaiShan V110 (\u0434\u043b\u044f 48 \u044f\u0434\u0435\u0440):<\/p>\n<ul>\n<li>\n<p>64 \u0431\u0438\u0442\u043d\u0430\u044f \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 armv8.2<\/p>\n<\/li>\n<li>\n<p>FP\/SIMD \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u044f VFPv4 \u0438 NEON<\/p>\n<\/li>\n<li>\n<p>\u0412\u043d\u0435\u043e\u0447\u0435\u0440\u0435\u0434\u043d\u043e\u0435 \u0438\u0441\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435<\/p>\n<\/li>\n<li>\n<p>\u0423\u043b\u0443\u0447\u0448\u0435\u043d\u043d\u044b\u0439 \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>\u041f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438<\/p>\n<\/li>\n<li>\n<p>\u041a\u043e\u043d\u0432\u0435\u0439\u0435\u0440 11 \u2013 13 \u0441\u0442\u0430\u0434\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>8 \u043f\u043e\u0440\u0442\u043e\u0432 \u043d\u0430 \u0438\u0441\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435 \u043c\u0438\u043a\u0440\u043e\u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439:<\/p>\n<ul>\n<li>\n<p>2 \u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0438\/\u0421\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f<\/p>\n<\/li>\n<li>\n<p>2 \u0446\u0435\u043b\u044b\u0445 \u0410\u041b\u0423 (\u0441\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u0441\u0434\u0432\u0438\u0433)<\/p>\n<\/li>\n<li>\n<p>1 \u0431\u043b\u043e\u043a \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>1 \u0410\u041b\u0423 \u0434\u043b\u044f \u0443\u043c\u043d\u043e\u0436\u0435\u043d\u0438\u044f, \u0434\u0435\u043b\u0435\u043d\u0438\u044f<\/p>\n<\/li>\n<li>\n<p>2 \u0431\u043b\u043e\u043a\u0430 SIMD\/FPU<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>4 \u0443\u0440\u043e\u0432\u043d\u0435\u0432\u044b\u0439 \u0434\u0435\u043a\u043e\u0434\u0435\u0440 \u043a\u043e\u043c\u0430\u043d\u0434 (3 \u0443\u0440\u043e\u0432\u043d\u044f \u0432 Cortex-A72)<\/p>\n<\/li>\n<li>\n<p>\u041a\u0435\u0448\u0438<\/p>\n<ul>\n<li>\n<p>64 \u041a\u0411 L1 \u043a\u044d\u0448 \u043a\u043e\u043c\u0430\u043d\u0434 (4 \u043a\u0430\u043d\u0430\u043b\u044c\u043d\u044b\u0439, \u0430\u0441\u0441\u043e\u0446\u0438\u0430\u0442\u0438\u0432\u043d\u044b\u0439, \u0440\u0430\u0437\u043c\u0435\u0440 \u043b\u0438\u043d\u0438\u0438 64 \u0431\u0430\u0439\u0442\u0430)<\/p>\n<\/li>\n<li>\n<p>64 \u041a\u0411 L1 \u043a\u044d\u0448 \u0434\u0430\u043d\u043d\u044b\u0445 (4 \u043a\u0430\u043d\u0430\u043b\u044c\u043d\u044b\u0439, \u0430\u0441\u0441\u043e\u0446\u0438\u0430\u0442\u0438\u0432\u043d\u044b\u0439, \u0440\u0430\u0437\u043c\u0435\u0440 \u043b\u0438\u043d\u0438\u0438 64 \u0431\u0430\u0439\u0442\u0430)<\/p>\n<\/li>\n<li>\n<p>\u0412 Kunpeng 920 512 \u041a\u0411 L2 \u043d\u0430 1 \u044f\u0434\u0440\u043e (4 \u044f\u0434\u0440\u0430 \u0432 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0435), \u0432 \u0441\u0443\u043c\u043c\u0435 24 \u041c\u0411<\/p>\n<\/li>\n<li>\n<p>\u041a\u044d\u0448 L3: 48 \u041c\u0411 (4 \u041c\u0411 \u0432 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0435)<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>\u0420\u0430\u0437\u0431\u0438\u0440\u0430\u0435\u043c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b<\/h3>\n<h4>Coremark<\/h4>\n<p>\u0421\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0439 \u0442\u0435\u0441\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0434\u043e\u043b\u0436\u0435\u043d \u0437\u0430\u043c\u0435\u043d\u0438\u0442\u044c Dhrystone \u0438 Whetstone. \u041d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 C. \u0421\u0447\u0438\u0442\u0430\u0435\u0442 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u043c\u0430\u0441\u0441\u0438\u0432\u044b, \u043c\u0430\u0442\u0440\u0438\u0446\u044b, \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0430 \u043c\u0430\u0441\u0441\u0438\u0432\u043e\u0432 \u0438 \u0442. \u0434. \u041f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0430\u043b\u0441\u044f \u0434\u043b\u044f \u0437\u0430\u043f\u0443\u0441\u043a\u0430 \u043d\u0430 \u0432\u0441\u0451\u043c: \u043e\u0442 \u043c\u0438\u043a\u0440\u043e\u043a\u043e\u043d\u0442\u0440\u043e\u043b\u043b\u0435\u0440\u043e\u0432 \u0434\u043e \u043c\u043e\u0449\u043d\u044b\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u0432.<\/p>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043e\u0434\u043d\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Coremark \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">.\/coremark.exe 2K performance run parameters for coremark. CoreMark Size : 666 Total ticks : 14771 Total time (secs): 14.771000 Iterations\/Sec : 13540.044682 Iterations : 200000 Compiler version : GCC10.2.1 20210110 Compiler flags : -static -Ofast -funroll-all-loops -EL -falign-functions=16 -DPERFORMANCE_RUN=1 -lrt Memory location : Please put data memory location here (e.g. code in flash. data on heap etc)  seedcrc : 0xe9f5 [0]crclist : 0xe714 [0]crcmatrix : 0x1fd7 [0]crcstate : 0x8e3a [0]crcfinal : 0x4983 Correct operation validated. See readme.txt for run and reporting rules.  CoreMark 1.0 : 13540.044682 \/ GCC10.2.1 20210110 -static -Ofast -funroll-all- loops -EL -falign-functions=16 -DPERFORMANCE_RUN=1 -lrt \/ Heap<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043c\u043d\u043e\u0433\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Coremark \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code>.\/coremarkMT.exe 2K performance run parameters for coremark. CoreMark Size : 666 Total ticks : 14815 Total time (secs): 14.815000 Iterations\/Sec : 647991.900101 Iterations : 9600000 Compiler version : GCC10.2.1 20210110 Compiler flags : -static -Ofast -funroll-all-loops -EL -falign-functions=16 -DUSE_PHTREAD -DMULTITHREAD=48 -DPERFORMANCE_RUN=1 -lrt Parallel PThreads : 48 Memory location : Please put data memory location here (e.g. code in flash. data on heap etc)  seedcrc : 0xe9f5 [0]crclist : 0xe714 [1]crclist : 0xe714 ..... [46]crclist : 0xe714 [47]crclist : 0xe714 [0]crcmatrix : 0x1fd7 [1]crcmatrix : 0x1fd7 ..... [46]crcmatrix : 0x1fd7 [47]crcmatrix : 0x1fd7 [0]crcstate : 0x8e3a [1]crcstate : 0x8e3a [2]crcstate : 0x8e3a ..... [46]crcstate : 0x8e3a [47]crcstate : 0x8e3a [0]crcfinal : 0x4983 [1]crcfinal : 0x4983 [2]crcfinal : 0x4983 ..... [46]crcfinal : 0x4983 [47]crcfinal : 0x4983 Correct operation validated. See readme.txt for run and reporting rules.  CoreMark 1.0 : 647991.900101 \/ GCC10.2.1 20210110 -static -Ofast -funroll- all-loops -EL -falign-functions=16 -DUSE_PHTREAD -DMULTITHREAD=48 -  DPERFORMANCE_RUN=1 -lrt \/ Heap \/ 48:PThreads 2K performance run parameters for coremark.<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043e\u0434\u043d\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Coremark \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code>2K performance run parameters for coremark. CoreMark Size    : 666 Total ticks      : 16306 Total time (secs): 16.306000 Iterations\/Sec   : 18398.135656 Iterations       : 300000 Compiler version : GCC9.3.0 Compiler flags   : -Ofast -march=native  -DPERFORMANCE_RUN=1 -DUSE_FORK=1 -lrt Memory location  : Please put data memory location here (e.g. code in flash, data on heap etc) seedcrc          : 0xe9f5 [0]crclist       : 0xe714 [0]crcmatrix     : 0x1fd7 [0]crcstate      : 0x8e3a [0]crcfinal      : 0xcc42 Correct operation validated. See README.md for run and reporting rules. CoreMark 1.0 : 18398.135656 \/ GCC9.3.0 -Ofast -march=native  -DPERFORMANCE_RUN=1 -DUSE_FORK=1 -lrt \/ Heap <\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043c\u043d\u043e\u0433\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Coremark \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code>2K performance run parameters for coremark. CoreMark Size    : 666 Total ticks      : 14867 Total time (secs): 14.867000 Iterations\/Sec   : 1291450.864330 Iterations       : 19200000 Compiler version : GCCUbuntu Clang 12.0.0 Compiler flags   : -Ofast -march=armv8.2-a  -DPERFORMANCE_RUN=1 -DUSE_FORK=1 -lrt Parallel Fork : 96 Memory location  : Please put data memory location here (e.g. code in flash, data on heap etc) seedcrc          : 0xe9f5 [0]crclist       : 0xe714 [95]crcfinal      : 0x4983 Correct operation validated. See README.md for run and reporting rules. CoreMark 1.0 : 1291450.864330 \/ GCCUbuntu Clang 12.0.0 -Ofast -march=armv8.2-a  -DPERFORMANCE_RUN=1 -DUSE_FORK=1 -lrt \/ Heap \/ 96:Fork <\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<h4>Dhrystone<\/h4>\n<p>Dhrystone \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e \u0434\u0440\u0435\u0432\u043d\u0438\u0439 \u0442\u0435\u0441\u0442 80\u0445 \u0433\u043e\u0434\u043e\u0432, \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 C. \u0422\u0435\u0441\u0442\u0438\u0440\u0443\u0435\u0442 \u0446\u0435\u043b\u043e\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u0443\u044e \u0430\u0440\u0438\u0444\u043c\u0435\u0442\u0438\u043a\u0443 \u0438 \u0440\u0430\u0431\u043e\u0442\u0443 \u0441\u043e \u0441\u0442\u0440\u043e\u043a\u0430\u043c\u0438. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0438\u0437\u043c\u0435\u0440\u044f\u044e\u0442\u0441\u044f \u0432 Dhrystone\/s \u0438 DMIPS. (DMIPS = Dhrystone\/s \u0434\u0435\u043b\u0438\u0442\u044c \u043d\u0430 1757).<\/p>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 Dhrystone \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\"> #####################################################   Dhrystone Benchmark 2.1 arm armv8.1-a optimized, Thu Feb  4 19:41:16 2010   Nanoseconds one Dhrystone run:         42.44  Dhrystones per Second:              23561181  VAX MIPS rating =                   13409.89   Numeric results were correct<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 Dhrystone \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">Dhrystone Benchmark, Version 2.1 (Language: C or C++)  Optimisation    aarch64 armv8.2-a optimized Register option not selected         10000 runs   0.00 seconds        100000 runs   0.00 seconds       1000000 runs   0.03 seconds      10000000 runs   0.28 seconds      20000000 runs   0.55 seconds      40000000 runs   1.10 seconds      80000000 runs   2.19 seconds   Final values (* implementation-dependent):  Int_Glob:      O.K.  5  Bool_Glob:     O.K.  1 Ch_1_Glob:     O.K.  A  Ch_2_Glob:     O.K.  B Arr_1_Glob[8]: O.K.  7  Arr_2_Glob8\/7: O.K.    80000010 Ptr_Glob->              Ptr_Comp:       *    0xc0cf2a0   Discr:       O.K.  0  Enum_Comp:     O.K.  2   Int_Comp:    O.K.  17 Str_Comp:      O.K.  DHRYSTONE PROGRAM, SOME STRING Next_Ptr_Glob->         Ptr_Comp:       *    0xc0cf2a0 same as above   Discr:       O.K.  0  Enum_Comp:     O.K.  1   Int_Comp:    O.K.  18 Str_Comp:      O.K.  DHRYSTONE PROGRAM, SOME STRING Int_1_Loc:     O.K.  5  Int_2_Loc:     O.K.  13 Int_3_Loc:     O.K.  7  Enum_Loc:      O.K.  1   Str_1_Loc:                             O.K.  DHRYSTONE PROGRAM, 1'ST STRING Str_2_Loc:                             O.K.  DHRYSTONE PROGRAM, 2'ND STRING  Nanoseconds one Dhrystone run:        27.32 Dhrystones per Second:             36598414 VAX  MIPS rating =                 20830.06  <\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<h4>Whetstone<\/h4>\n<p>\u0422\u0435\u0441\u0442\u0438\u0440\u0443\u0435\u0442 \u0430\u0440\u0438\u0444\u043c\u0435\u0442\u0438\u043a\u0443 \u0441 \u043f\u043b\u0430\u0432\u0430\u044e\u0449\u0435\u0439\/\u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u0437\u0430\u043f\u044f\u0442\u043e\u0439, \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438, \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u044f, \u0432\u044b\u0437\u043e\u0432\u043e\u0432 \u0444\u0443\u043d\u043a\u0446\u0438\u0439, \u043f\u0440\u0438\u0441\u0432\u0430\u0438\u0432\u0430\u043d\u0438\u0439, \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u0447\u0438\u0441\u043b\u0430\u043c\u0438 \u0441 \u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u0437\u0430\u043f\u044f\u0442\u043e\u0439, \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u0439. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0438\u0437\u043c\u0435\u0440\u044f\u044e\u0442\u0441\u044f \u0432 MMIPS.<\/p>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043e\u0434\u043d\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Whetstone \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">======================================================================= BYTE UNIX Benchmarks (Version 5.1.3)  System: dbs: GNU\/Linux OS: GNU\/Linux -- 5.4.197-baikal-arm64 -- #72 SMP PREEMPT Mon Sep 06 20:59:55 MSK 2022 Machine: aarch64 (unknown) Language: en_US.utf8 (charmap=\"UTF-8\". collate=\"UTF-8\") 17:40:34 up 38 min. 2 users. load average: 8.44. 17.34. 9.11; runlevel 5  ------------------------------------------------------------------------ Benchmark Run: Sep 09 2022 17:40:34 - 17:45:20 0 CPUs in system; running 1 parallel copy of tests  Dhrystone 2 using register variables 23561181.9 lps (10.0 s. 7 samples) Double-Precision Whetstone 4702.4 MWIPS (9.9 s. 7 samples)<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043c\u043d\u043e\u0433\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Whetstone \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code>BYTE UNIX Benchmarks (Version 5.1.3) System: dbs: GNU\/Linux OS: GNU\/Linux -- 5.4.197-baikal-arm64 -- #72 SMP PREEMPT Mon Jun 21 20:59:55 MSK 2022 Machine: aarch64 (unknown) Language: en_US.utf8 (charmap=\"UTF-8\". collate=\"UTF-8\") 17:34:20 up 32 min. 2 users. load average: 0.01. 0.01. 0.00; runlevel 5  ------------------------------------------------------------------------ Benchmark Run: Sep 09 2022 17:34:20 - 17:39:07 0 CPUs in system; running 48 parallel copies of tests  Dhrystone 2 using register variables 1127397973.8 lps (10.0 s . 7 samples) Double-Precision Whetstone 225078.7 MWIPS (9.9 s. 7 samples)<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043e\u0434\u043d\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Whetstone \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">########################################## Single Precision C Whetstone Benchmark aarch64 armv8-a optimized, Tue Jan 18 14:59:09 2022  Calibrate        0.01 Seconds          1   Passes (x 100)        0.02 Seconds          5   Passes (x 100)        0.06 Seconds         25   Passes (x 100)        0.32 Seconds        125   Passes (x 100)        1.62 Seconds        625   Passes (x 100)        8.11 Seconds       3125   Passes (x 100)  Use 3854  passes (x 100)            Single Precision C\/C++ Whetstone Benchmark  Loop content                  Result              MFLOPS      MOPS   Seconds  N1 floating point     -1.12475013732910156       831.272              0.089 N2 floating point     -1.12274742126464844       804.396              0.644 N3 if then else        1.00000000000000000                3895.706    0.102 N4 fixed point        12.00000000000000000               62234.039    0.020 N5 sin,cos etc.        0.49911010265350342                 115.110    2.786 N6 floating point      0.99999982118606567       519.520              4.001 N7 assignments         3.00000000000000000                2597.914    0.274 N8 exp,sqrt etc.       0.75110864639282227                  69.101    2.075  MWIPS                                           3857.517              9.991  <\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043c\u043d\u043e\u0433\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Whetstone \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code> MWIPS    362558 Based on time for last thread to finish<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<h4>HPL<\/h4>\n<p><strong>HPL<\/strong>\u00a0\u2013 \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u0438\u043c\u044b\u0439 \u0432\u044b\u0441\u043e\u043a\u043e\u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0442\u0435\u0441\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u0434\u043b\u044f \u0441\u0443\u043f\u0435\u0440\u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043e\u0432. \u0420\u0435\u0448\u0430\u0435\u0442 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043b\u0438\u043d\u0435\u0439\u043d\u044b\u0445 \u0443\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u0439, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 BLAS \u0438 MPI. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0432\u044b\u0434\u0430\u0451\u0442 \u0432 GFLOPS.<\/p>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 HPL \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">mpirun.openmpi -np 48 -- allow-run-as-root .\/xhpl ============================================================================= HPLinpack 2.3 -- High-Performance Linpack benchmark -- December 2. 2018 Written by A. Petitet and R. Clint Whaley. Innovative Computing Laboratory. UTK Modified by Piotr Luszczek. Innovative Computing Laboratory. UTK Modified by Julien Langou. University of Colorado Denver =============================================================================  An explanation of the input\/output parameters follows: T\/V : Wall time \/ encoded variant. N : The order of the coefficient matrix A. NB : The partitioning blocking factor. P : The number of process rows. Q : The number of process columns. Time : Time in seconds to solve the linear system. Gflops : Rate of execution for solving the linear system.  The following parameter values will be used: N : 98304 NB : 96 PMAP : Row-major process mapping P : 6 Q : 8 PFACT : Left NBMIN : 4 NDIV : 2 RFACT : Crout BCAST : 1ring DEPTH : 0 SWAP : Mix (threshold = 64) L1 : transposed form U : transposed form EQUIL : yes ALIGN : 8 double precision words  -----------------------------------------------------------------------------  - The matrix A is randomly generated for each test. - The following scaled residual check will be computed: ||Ax-b||_oo \/ ( eps * ( || x ||_oo * || A ||_oo + || b ||_oo ) * N ) - The relative machine precision (eps) is taken to be 1.110223e-16 - Computational tests pass if scaled residuals are less than 16.0  ============================================================================= T\/V N NB P Q Time Gflops ----------------------------------------------------------------------------- WR00C2L4 98304 96 6 8 2149.68 2.9462e+02 HPL_pdgesv() start time Wed Aug 17 18:56:05 2022  HPL_pdgesv() end time Wed Aug 17 19:31:55 2022  ----------------------------------------------------------------------------- ||Ax-b||_oo\/(eps*(||A||_oo*||x||_oo+||b||_oo)*N)= 1.19811356e-01 ...... PASSED =============================================================================<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 HPL \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code>$ mpiexec -n 48 .\/xhpl HPL ERROR from process # 0, on line 419 of function HPL_pdinfo: >>> Need at least 96 processes for these tests &lt;&lt;&lt;  HPL ERROR from process # 0, on line 621 of function HPL_pdinfo: >>> Illegal input in file HPL.dat. Exiting ... &lt;&lt;&lt;  user@iot:~\/hpl\/bin\/linux$ nano HPL.dat user@iot:~\/hpl\/bin\/linux$ mpiexec -n 48 .\/xhpl ================================================================================ HPLinpack 2.3  --  High-Performance Linpack benchmark  --   December 2, 2018 Written by A. Petitet and R. Clint Whaley,  Innovative Computing Laboratory, UTK Modified by Piotr Luszczek, Innovative Computing Laboratory, UTK Modified by Julien Langou, University of Colorado Denver ================================================================================  An explanation of the input\/output parameters follows: T\/V    : Wall time \/ encoded variant. N      : The order of the coefficient matrix A. NB     : The partitioning blocking factor. P      : The number of process rows. Q      : The number of process columns. Time   : Time in seconds to solve the linear system. Gflops : Rate of execution for solving the linear system.  The following parameter values will be used:  N      :   18000    24000    36000    40800 NB     :     240 PMAP   : Row-major process mapping P      :       1 Q      :      48 PFACT  :    Left NBMIN  :       4 NDIV   :       4 RFACT  :    Left BCAST  :   1ring DEPTH  :       1 SWAP   : Mix (threshold = 64) L1     : transposed form U      : transposed form EQUIL  : yes ALIGN  : 16 double precision words  --------------------------------------------------------------------------------  - The matrix A is randomly generated for each test. - The following scaled residual check will be computed:       ||Ax-b||_oo \/ ( eps * ( || x ||_oo * || A ||_oo + || b ||_oo ) * N ) - The relative machine precision (eps) is taken to be               1.110223e-16 - Computational tests pass if scaled residuals are less than                16.0  ================================================================================ T\/V                N    NB     P     Q               Time                 Gflops -------------------------------------------------------------------------------- WR10L4L4       18000   240     1    48              29.67             1.3106e+02 HPL_pdgesv() start time Wed Jan 26 22:02:33 2022  HPL_pdgesv() end time   Wed Jan 26 22:03:02 2022  -------------------------------------------------------------------------------- ||Ax-b||_oo\/(eps*(||A||_oo*||x||_oo+||b||_oo)*N)=   1.42218782e-03 ...... PASSED ================================================================================ T\/V                N    NB     P     Q               Time                 Gflops -------------------------------------------------------------------------------- WR10L4L4       24000   240     1    48              55.00             1.6757e+02 HPL_pdgesv() start time Wed Jan 26 22:03:06 2022  HPL_pdgesv() end time   Wed Jan 26 22:04:01 2022  -------------------------------------------------------------------------------- ||Ax-b||_oo\/(eps*(||A||_oo*||x||_oo+||b||_oo)*N)=   1.13864820e-03 ...... PASSED ================================================================================ T\/V                N    NB     P     Q               Time                 Gflops -------------------------------------------------------------------------------- WR10L4L4       36000   240     1    48             164.06             1.8960e+02 HPL_pdgesv() start time Wed Jan 26 22:04:09 2022  HPL_pdgesv() end time   Wed Jan 26 22:06:54 2022  -------------------------------------------------------------------------------- ||Ax-b||_oo\/(eps*(||A||_oo*||x||_oo+||b||_oo)*N)=   9.12220668e-04 ...... PASSED ================================================================================ T\/V                N    NB     P     Q               Time                 Gflops -------------------------------------------------------------------------------- WR10L4L4       40800   240     1    48             233.34             1.9406e+02 HPL_pdgesv() start time Wed Jan 26 22:07:05 2022  HPL_pdgesv() end time   Wed Jan 26 22:10:58 2022  -------------------------------------------------------------------------------- ||Ax-b||_oo\/(eps*(||A||_oo*||x||_oo+||b||_oo)*N)=   9.95497593e-04 ...... PASSED ================================================================================  Finished      4 tests with the following results:               4 tests completed and passed residual checks,               0 tests completed and failed residual checks,               0 tests skipped because of illegal input values. --------------------------------------------------------------------------------  End of Tests. ================================================================================ <\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<h4>7zip<\/h4>\n<p>\u0412\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u0439 \u0442\u0435\u0441\u0442 \u0430\u0440\u0445\u0438\u0432\u0430\u0442\u043e\u0440\u0430. \u0422\u0435\u0441\u0442 \u043e\u0441\u043e\u0431\u043e \u043d\u0435 \u043f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u0438\u0442\u0441\u044f, \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e \u0440\u0430\u0432\u043d\u044b\u0435 \u043d\u0430 \u044d\u0442\u0438\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430\u0445 (\u0447\u0430\u0441\u0442\u043e\u0442\u0430 \u043e\u0434\u0438\u043d\u0430\u043a\u043e\u0432\u0430\u044f).<\/p>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 7z \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code>root@dbs:~# 7za b  7-Zip (a) [64] 16.02 : Copyright (c) 1999-2016 Igor Pavlov : 2016-05-21 p7zip Version 16.02 (locale=en_US.UTF-8,Utf16=on,HugeFiles=on,64 bits,48 CPUs LE)  LE CPU Freq: 64000000 - - - - - - - -  RAM size:   96133 MB,  # CPU hardware threads:  48 RAM usage:  10590 MB,  # Benchmark threads:     48                         Compressing  |                  Decompressing Dict     Speed Usage    R\/U Rating  |      Speed Usage    R\/U Rating          KiB\/s     %   MIPS   MIPS  |      KiB\/s     %   MIPS   MIPS  22:      75097  4088   1787  73055  |    1295732  4780   2312 110496 23:      68987  3987   1763  70290  |    1263902  4784   2286 109363 24:      70152  4293   1757  75428  |    1244122  4783   2283 109200 25:      59027  4190   1610  67395  |    1180858  4659   2256 105084 ----------------------------------  | ------------------------------ Avr:            4139   1729  71542  |             4752   2284 108536 Tot:            4446   2007  90039 root@dbs:~# 7za b -mmt1  7-Zip (a) [64] 16.02 : Copyright (c) 1999-2016 Igor Pavlov : 2016-05-21 p7zip Version 16.02 (locale=en_US.UTF-8,Utf16=on,HugeFiles=on,64 bits,48 CPUs LE)  LE CPU Freq: - - - - - - - - -  RAM size:   96133 MB,  # CPU hardware threads:  48 RAM usage:    435 MB,  # Benchmark threads:      1                         Compressing  |                  Decompressing Dict     Speed Usage    R\/U Rating  |      Speed Usage    R\/U Rating          KiB\/s     %   MIPS   MIPS  |      KiB\/s     %   MIPS   MIPS  22:       2664   100   2593   2592  |      27461   100   2345   2345 23:       2377   100   2423   2422  |      27216   100   2356   2356 24:       2153   100   2317   2316  |      26935   100   2365   2365 25:       1988   100   2271   2270  |      26524   100   2361   2361 ----------------------------------  | ------------------------------ Avr:             100   2401   2400  |              100   2357   2356 Tot:             100   2379   2378<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 7z \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">7zr b  7-Zip (a) [64] 16.02 : Copyright (c) 1999-2016 Igor Pavlov : 2016-05-21 p7zip Version 16.02 (locale=en_US.UTF-8,Utf16=on,HugeFiles=on,64 bits,96 CPUs LE)  LE CPU Freq: - - - - - - - - -  RAM size:  321420 MB,  # CPU hardware threads:  96 RAM usage:  21180 MB,  # Benchmark threads:     96                         Compressing  |                  Decompressing Dict     Speed Usage    R\/U Rating  |      Speed Usage    R\/U Rating          KiB\/s     %   MIPS   MIPS  |      KiB\/s     %   MIPS   MIPS  22:     150159  7512   1945 146075  |    2459507  6909   3037 209731 23:     135991  7105   1950 138559  |    3118221  9048   2984 269812 24:     138858  6878   2171 149301  |    3013256  8945   2958 264461 25:     145816  7561   2203 166488  |    2384245  7438   2853 212162 ----------------------------------  | ------------------------------ Avr:            7264   2067 150105  |             8085   2958 239042 Tot:            7675   2513 194573  $ 7zr b -mmt48  7-Zip (a) [64] 16.02 : Copyright (c) 1999-2016 Igor Pavlov : 2016-05-21 p7zip Version 16.02 (locale=en_US.UTF-8,Utf16=on,HugeFiles=on,64 bits,96 CPUs LE)  LE CPU Freq: - 64000000 64000000 - 128000000 - 512000000 - -  RAM size:  321420 MB,  # CPU hardware threads:  96 RAM usage:  10590 MB,  # Benchmark threads:     48                         Compressing  |                  Decompressing Dict     Speed Usage    R\/U Rating  |      Speed Usage    R\/U Rating          KiB\/s     %   MIPS   MIPS  |      KiB\/s     %   MIPS   MIPS  22:     104046  4168   2429 101216  |    1691792  4670   3089 144270 23:      93868  4477   2136  95641  |    1613868  4618   3024 139645 24:      97195  4096   2552 104505  |    1588574  4629   3012 139434 25:      90848  4125   2515 103728  |    1451915  4396   2939 129206 ----------------------------------  | ------------------------------ Avr:            4217   2408 101272  |             4578   3016 138139 Tot:            4397   2712 119705  $ 7zr b -mmt1  7-Zip (a) [64] 16.02 : Copyright (c) 1999-2016 Igor Pavlov : 2016-05-21 p7zip Version 16.02 (locale=en_US.UTF-8,Utf16=on,HugeFiles=on,64 bits,96 CPUs LE)  LE CPU Freq: - - - - - - - - -  RAM size:  321420 MB,  # CPU hardware threads:  96 RAM usage:    435 MB,  # Benchmark threads:      1                         Compressing  |                  Decompressing Dict     Speed Usage    R\/U Rating  |      Speed Usage    R\/U Rating          KiB\/s     %   MIPS   MIPS  |      KiB\/s     %   MIPS   MIPS  22:       3620   100   3527   3522  |      37243   100   3183   3180 23:       3226   100   3293   3288  |      36950   100   3201   3198 24:       2872   100   3092   3088  |      36444   100   3202   3199 25:       2591   100   2963   2959  |      35783   100   3188   3185 ----------------------------------  | ------------------------------ Avr:             100   3219   3214  |              100   3194   3191 Tot:             100   3206   3202<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<h4>STREAM<\/h4>\n<p>\u0422\u0435\u0441\u0442 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u041e\u0417\u0423.  <\/p>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 STREAM \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">Array size = 4947848500 (elements), Offset = 0 (elements) Memory per array = 37749.1 MiB (= 36.9 GiB). Total memory required = 113247.3 MiB (= 110.6 GiB). Each kernel will be executed 3 times. The *best* time for each kernel (excluding the first iteration) will be used to compute the reported bandwidth. ------------------------------------------------------------- Number of Threads requested = 12 Number of Threads counted = 12 ------------------------------------------------------------- Your clock granularity\/precision appears to be 1 microseconds. Each test below will take on the order of 1196001 microseconds. (= 1196001 clock ticks) Increase the size of the arrays if this shows that you are not getting at least 20 clock ticks per test. ------------------------------------------------------------- WARNING -- The above is only a rough guideline. For best results, please be sure you know the precision of your system timer. ------------------------------------------------------------- Function Best Rate MB\/s Avg time Min time Max time Copy: 81787.6 0.968455 0.967941 0.968970 Scale: 78037.2 1.015015 1.014459 1.015572 Add: 76156.5 1.559800 1.559267 1.560332 Triad: 75113.8 1.582214 1.580914 1.583514 ------------------------------------------------------------- Solution Validates: avg error less than 1.000000e-13 on all three arrays -------------------------------------------------------------<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 STREAM \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">Array size = 20000000 (elements), Offset = 0 (elements) Memory per array = 152.6 MiB (= 0.1 GiB). Total memory required = 457.8 MiB (= 0.4 GiB). Each kernel will be executed 20 times.  The *best* time for each kernel (excluding the first iteration)  will be used to compute the reported bandwidth. ------------------------------------------------------------- Number of Threads requested = 96 Number of Threads counted = 96 ------------------------------------------------------------- Your clock granularity\/precision appears to be 1 microseconds. Each test below will take on the order of 3901 microseconds.    (= 3901 clock ticks) Increase the size of the arrays if this shows that you are not getting at least 20 clock ticks per test. ------------------------------------------------------------- WARNING -- The above is only a rough guideline. For best results, please be sure you know the precision of your system timer. ------------------------------------------------------------- Function    Best Rate MB\/s  Avg time     Min time     Max time Copy:           93271.5     0.004566     0.003431     0.006441 Scale:          75846.4     0.005011     0.004219     0.006355 Add:            78009.4     0.007845     0.006153     0.010400 Triad:          76593.7     0.007606     0.006267     0.009237 ------------------------------------------------------------- Solution Validates: avg error less than 1.000000e-13 on all three arrays<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<h4>Blender<\/h4>\n<p><a href=\"http:\/\/download.amd.com\/demo\/RyzenGraphic_27.blend\" rel=\"noopener noreferrer nofollow\">\u0420\u0435\u043d\u0434\u0435\u0440\u0438\u043d\u0433 \u0441\u0446\u0435\u043d\u044b<\/a><\/p>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 Blender \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code>blender -b RyzenGraphic_27.blend -f 1 -- --cycles- device CPU  Blender 2.83.5  Fra:1 Mem:310.57M (0.00M. Peak 831.94M) | Time:00:16.02 | Mem:260.67M. Peak:262.29M | Scene. RenderLayer | Rendered 625\/625 Tiles Fra:1 Mem:310.56M (0.00M. Peak 831.94M) | Time:00:16.02 | Mem:260.67M. Peak:262.29M | Scene. RenderLayer | Finished Fra:1 Mem:48.06M (0.00M. Peak 831.94M) | Time:00:16.05 | Sce: Scene Ve:0 Fa:0 La:0 Saved: '\/tmp\/0001.png' Time: 00:16.96 (Saving: 00:00.91)<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 Blender \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code> blender -b RyzenGraphic_27.blend -f 1  Fra:1 Mem:49.27M (0.00M, Peak 822.50M) | Time:00:07.54 | Sce: Scene Ve:0 Fa:0 La:0 Saved: '\/tmp\/0001.png'  Time: 00:08.20 (Saving: 00:00.65)  8 \u0441\u0435\u043a\u0443\u043d\u0434 \u043d\u0430 96 \u044f\u0434\u0440\u0430\u0445  \u043d\u0430 48 \u044f\u0434\u0440\u0430\u0445 (2 \u043f\u0440\u043e\u0446):   Time: 00:13.56 (Saving: 00:00.66)  \u043d\u0430 24 \u043f\u043e\u0442\u043e\u043a\u0430\u0445:  Saved: '\/tmp\/0001.png'  Time: 00:24.92 (Saving: 00:00.65)  \u043d\u0430 8 \u043f\u043e\u0442\u043e\u043a\u0430\u0445:   Time: 01:10.24 (Saving: 00:00.65)<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<h3>\u0421\u0441\u044b\u043b\u043a\u0438<\/h3>\n<ul>\n<li>\n<p><a href=\"https:\/\/github.com\/EntityFX\/anybench\/tree\/master\/results\/huawei-arm-kunpeng_920_mp2-2600mhz_taishan_200\" rel=\"noopener noreferrer nofollow\">\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b Kunpeng 920<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/drive.google.com\/file\/d\/1g_QMwhTo6uHtb5pR0ntY87JEkK3LyMux\/view\" rel=\"noopener noreferrer nofollow\">\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b Baikal-S<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/github.com\/EntityFX\/anybench\/\" rel=\"noopener noreferrer nofollow\">https:\/\/github.com\/EntityFX\/anybench\/<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/github.com\/EntityFX\/EntityFX-Bench\" rel=\"noopener noreferrer nofollow\">https:\/\/github.com\/EntityFX\/EntityFX-Bench<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/www.siliconinvestor.com\/readmsg.aspx?msgid=32142350\" rel=\"noopener noreferrer nofollow\">\u0414\u0435\u0442\u0430\u043b\u0438 \u043f\u043e \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430\u043c Kunpeng<\/a><\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/habr.com\/ru\/post\/693180\/\" rel=\"noopener noreferrer nofollow\">\u0420\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u0438\u0439 \u0441\u0435\u0440\u0432\u0435\u0440\u043d\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 Baikal S<\/a><\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"v-portal\" style=\"display:none;\"><\/div>\n<\/div>\n<p> <!----> <!----><br \/> \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438 <a href=\"https:\/\/habr.com\/ru\/post\/695484\/\"> https:\/\/habr.com\/ru\/post\/695484\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<div><\/div>\n<div id=\"post-content-body\">\n<div>\n<div class=\"article-formatted-body article-formatted-body article-formatted-body_version-2\">\n<div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\">\n<figure class=\"bordered full-width\"><figcaption>Baikal-S vs Kunpeng 920<\/figcaption><\/figure>\n<p>\u041d\u0435\u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u043d\u0430\u0437\u0430\u0434 \u043f\u043e\u044f\u0432\u0438\u043b\u0438\u0441\u044c \u0442\u0435\u0441\u0442\u044b \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 <a href=\"https:\/\/habr.com\/ru\/post\/693180\/\" rel=\"noopener noreferrer nofollow\">\u0411\u0430\u0439\u043a\u0430\u043b-S<\/a>, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u044f \u0440\u0435\u0448\u0438\u043b \u0441\u0440\u0430\u0432\u043d\u0438\u0442\u044c<\/p>\n<p>\u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0434\u0430\u043d\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0441 \u043a\u0438\u0442\u0430\u0439\u0441\u043a\u0438\u043c \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u043c Kunpeng 920 (920-4826), \u043a \u043a\u043e\u0442\u043e\u0440\u043e\u043c\u0443 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u043d\u0430\u0437\u0430\u0434 \u043f\u043e\u043b\u0443\u0447\u0438\u043b \u0434\u043e\u0441\u0442\u0443\u043f.<\/p>\n<hr\/>\n<p>\u0425\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043a\u0438 \u0441\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u0435\u043c\u044b\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u0432:<\/p>\n<div>\n<div class=\"table\">\n<table>\n<tbody>\n<tr>\n<td>\n<p align=\"left\">\n<\/td>\n<td>\n<p align=\"left\"><strong>\u0411\u0430\u0439\u043a\u0430\u043b-S<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>Kunpeng 920<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430<\/p>\n<\/td>\n<td>\n<p align=\"left\">aarch64<\/p>\n<\/td>\n<td>\n<p align=\"left\">aarch64<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">ISA<\/p>\n<\/td>\n<td>\n<p align=\"left\">ARMv8.2-A<\/p>\n<\/td>\n<td>\n<p align=\"left\">ARMv8.2-A<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u041c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430<\/p>\n<\/td>\n<td>\n<p align=\"left\">Cortex-A75<\/p>\n<\/td>\n<td>\n<p align=\"left\">TaiShan v110<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0427\u0430\u0441\u0442\u043e\u0442\u0430   (\u041c\u0413\u0446)<\/p>\n<\/td>\n<td>\n<p align=\"left\">2000<\/p>\n<\/td>\n<td>\n<p align=\"left\">2600<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u042f\u0434\u0440\u0430;   \u041f\u043e\u0442\u043e\u043a\u0438<\/p>\n<\/td>\n<td>\n<p align=\"left\">48<\/p>\n<\/td>\n<td>\n<p align=\"left\">48<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0422\u0435\u0445\u043f\u0440\u043e\u0446\u0435\u0441\u0441   (\u043d\u043c)<\/p>\n<\/td>\n<td>\n<p align=\"left\">16<\/p>\n<\/td>\n<td>\n<p align=\"left\">7<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">TDP (\u0412\u0442)<\/p>\n<\/td>\n<td>\n<p align=\"left\">100<\/p>\n<\/td>\n<td>\n<p align=\"left\">150<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0422\u0438\u043f \u041e\u0417\u0423<\/p>\n<\/td>\n<td>\n<p align=\"left\">DDR4-3200 <\/p>\n<\/td>\n<td>\n<p align=\"left\">DDR4-2933<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0421\u043e\u043a\u0435\u0442<\/p>\n<\/td>\n<td>\n<p align=\"left\">FCLGA-3467<\/p>\n<\/td>\n<td>\n<p align=\"left\">BGA<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u041a\u0430\u043d\u0430\u043b\u043e\u0432   \u041e\u0417\u0423<\/p>\n<\/td>\n<td>\n<p align=\"left\">6<\/p>\n<\/td>\n<td>\n<p align=\"left\">8<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u041c\u0430\u043a\u0441 \u041e\u0417\u0423   (\u0413\u0411)<\/p>\n<\/td>\n<td>\n<p align=\"left\">768<\/p>\n<\/td>\n<td>\n<p align=\"left\">1024<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0413\u0424\u043b\u043e\u043f\u0441 (DP)<\/p>\n<\/td>\n<td>\n<p align=\"left\">384<\/p>\n<\/td>\n<td>\n<p align=\"left\">500<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0413\u0424\u043b\u043e\u043f\u0441 (SP)<\/p>\n<\/td>\n<td>\n<p align=\"left\">768<\/p>\n<\/td>\n<td>\n<p align=\"left\">2000<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p align=\"left\">\u0413\u043e\u0434<\/p>\n<\/td>\n<td>\n<p align=\"left\">2021<\/p>\n<\/td>\n<td>\n<p align=\"left\">2019<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p>\u00a0<\/p>\n<p>\u0411\u044b\u043b\u0438 \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u044b \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u0442\u0435\u0441\u0442\u044b:<\/p>\n<ul>\n<li>\n<p>7zip \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u0439 \u0431\u0435\u043d\u0447\u043c\u0430\u0440\u043a<\/p>\n<\/li>\n<li>\n<p>Dhrystone, Whetsone<\/p>\n<\/li>\n<li>\n<p>Coremark<\/p>\n<\/li>\n<li>\n<p>Scimark 2<\/p>\n<\/li>\n<li>\n<p>HPL<\/p>\n<\/li>\n<li>\n<p>Stream<\/p>\n<\/li>\n<li>\n<p>Stockfish<\/p>\n<\/li>\n<li>\n<p>Blender<\/p>\n<\/li>\n<li>\n<p>Geekbench 5<\/p>\n<\/li>\n<\/ul>\n<p>\u041d\u0435\u043c\u0435\u0434\u043b\u0435\u043d\u043d\u043e \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0438\u043c \u043a \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430\u043c, \u0434\u0435\u0442\u0430\u043b\u0438 \u0442\u0435\u0441\u0442\u043e\u0432 \u0441\u043c\u043e\u0442\u0440\u0438\u0442\u0435 \u0434\u0430\u043b\u0435\u0435.<\/p>\n<h2>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b<\/h2>\n<div>\n<div class=\"table\">\n<table>\n<tbody>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\"><strong>\u00a0<\/strong><\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\"><strong>\u00a0<\/strong><\/p>\n<\/td>\n<td colspan=\"2\" data-colwidth=\"50,65\" width=\"50\">\n<p align=\"left\"><strong>\u0411\u0430\u0439\u043a\u0430\u043b-S<\/strong><\/p>\n<\/td>\n<td colspan=\"2\" data-colwidth=\"77,0\" width=\"77\">\n<p align=\"left\"><strong>Kunpeng 920<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" data-colwidth=\"62\" width=\"62\">\n<p align=\"left\"><strong>\u0422\u0435\u0441\u0442<\/strong><\/p>\n<\/td>\n<td rowspan=\"2\" data-colwidth=\"50\" width=\"50\">\n<p align=\"left\"><strong>\u0415\u0434\u0438\u043d\u0438\u0446\u0430 \u0438\u0437\u043c\u0435\u0440\u0435\u043d\u0438\u044f<\/strong><\/p>\n<\/td>\n<td colspan=\"2\" data-colwidth=\"50,65\" width=\"50\">\n<p align=\"left\"><strong>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442<\/strong><\/p>\n<\/td>\n<td colspan=\"2\" data-colwidth=\"77,0\" width=\"77\">\n<p align=\"left\"><strong>\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\"><strong>1 \u043f\u043e\u0442\u043e\u043a<\/strong><\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\"><strong>48 \u043f\u043e\u0442\u043e\u043a\u043e\u0432<\/strong><\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\"><strong>1 \u043f\u043e\u0442\u043e\u043a<\/strong><\/p>\n<\/td>\n<td>\n<p align=\"left\"><strong>96 (48) \u043f\u043e\u0442\u043e\u043a\u043e\u0432<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">CoreMark<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">13 540<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">647 292<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">18 398<\/p>\n<\/td>\n<td>\n<p align=\"left\">1\u00a0291\u00a0450  <\/p>\n<p align=\"left\">(874\u00a0104)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">Dhrystone<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">DMIPS<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">13 410<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">21 830<\/p>\n<\/td>\n<td>\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">Whetstone<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">MWIPS<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">4 702<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">225 078<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">3 857<\/p>\n<\/td>\n<td>\n<p align=\"left\">362 558<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">HPL 2.3<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">7<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">294<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td>\n<p align=\"left\">327 (194)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">7z<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">Total;<\/p>\n<p align=\"left\">Compress;<\/p>\n<p align=\"left\">Decompress<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">2 378; <\/p>\n<p align=\"left\">2\u00a0400;   <\/p>\n<p align=\"left\">2 356 <\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">90\u00a0039;  <\/p>\n<p align=\"left\">71\u00a0542; <\/p>\n<p align=\"left\">108 536 <\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td>\n<p align=\"left\">194\u00a0573;   <\/p>\n<p align=\"left\">150 105 ;<\/p>\n<p align=\"left\">239\u00a0042<\/p>\n<p align=\"left\"> (119\u00a0705; 101 272; 138 139)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">STREAM<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u041c\u0411\/\u0441 Copy;<\/p>\n<p align=\"left\">Scale;<\/p>\n<p align=\"left\">Add;<\/p>\n<p align=\"left\">Triad<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">81 787;<\/p>\n<p align=\"left\">78\u00a0037;<\/p>\n<p align=\"left\">76\u00a0156;<\/p>\n<p align=\"left\">75 113<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td>\n<p align=\"left\">93\u00a0271; <\/p>\n<p align=\"left\">75\u00a0846;<\/p>\n<p align=\"left\">78\u00a0009;<\/p>\n<p align=\"left\">79 063<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">Blender<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u0421\u0435\u043a\u0443\u043d\u0434<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">16,96<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td>\n<p align=\"left\">8,2 (13,56)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\">Stockfish<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">Nodes\/second<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">43 097 684<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td>\n<p align=\"left\">77 469 854<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td data-colwidth=\"62\" width=\"62\">\n<p align=\"left\"><a href=\"https:\/\/browser.geekbench.com\/v5\/cpu\/compare\/12234693?baseline=11605280\" rel=\"noopener noreferrer nofollow\">Geekbench   5<\/a> [<a href=\"https:\/\/browser.geekbench.com\/v5\/cpu\/compare\/11397156?baseline=17606537\" rel=\"noopener noreferrer nofollow\">2<\/a>]<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">\u00a0<\/p>\n<\/td>\n<td data-colwidth=\"50\" width=\"50\">\n<p align=\"left\">405<\/p>\n<\/td>\n<td data-colwidth=\"65\" width=\"65\">\n<p align=\"left\">13 549<\/p>\n<\/td>\n<td data-colwidth=\"77\" width=\"77\">\n<p align=\"left\">599<\/p>\n<\/td>\n<td>\n<p align=\"left\">28 112 <\/p>\n<p align=\"left\">(18 817)<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h3>\u041d\u0435\u043c\u043d\u043e\u0433\u043e \u043e\u0431 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u0432 \u0411\u0430\u0439\u043a\u0430\u043b-S \u0438 Kunpeng 920<\/h3>\n<h4>\u0411\u0430\u0439\u043a\u0430\u043b-S<\/h4>\n<p>\u0411\u0430\u0439\u043a\u0430\u043b-S \u2014 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 64 \u0440\u0430\u0437\u0440\u044f\u0434\u043d\u043e\u0439 RISC \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0435 ARM (armv8, aarch64), \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u043d\u0430 \u0447\u0430\u0441\u0442\u043e\u0442\u0435 2 \u0413\u0413\u0446 (\u0432\u043e\u0437\u043c\u043e\u0436\u043d\u0430 2,5 \u0413\u0413\u0446) \u0438\u043c\u0435\u0435\u0442 48 \u044f\u0434\u0435\u0440, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0440\u0435\u0430\u043b\u0438\u0437\u0443\u044e\u0442 \u043c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0443 \u044f\u0434\u0435\u0440 Cortex-A75.<\/p>\n<figure class=\"full-width\"><figcaption>\u0411\u043b\u043e\u043a-\u0441\u0445\u0435\u043c\u0430 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/figcaption><\/figure>\n<figure class=\"full-width\"><figcaption>\u041a\u0440\u0438\u0441\u0442\u0430\u043b\u043b \u0411\u0430\u0439\u043a\u0430\u043b-S<\/figcaption><\/figure>\n<figure class=\"full-width\"><figcaption>\u0421\u0445\u0435\u043c\u0430 \u043c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b Cortex-A75<\/figcaption><\/figure>\n<p>\u00a0\u041e\u0441\u043e\u0431\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u044f\u0434\u0435\u0440 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b Cortex-A75:<\/p>\n<ul>\n<li>\n<p>64 \u0431\u0438\u0442\u043d\u0430\u044f \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 armv8.2<\/p>\n<\/li>\n<li>\n<p>FP\/SIMD \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u044f VFPv4 \u0438 NEON<\/p>\n<\/li>\n<li>\n<p>\u0412\u043d\u0435\u043e\u0447\u0435\u0440\u0435\u0434\u043d\u043e\u0435 \u0438\u0441\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435<\/p>\n<\/li>\n<li>\n<p>\u041f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u043d\u0438\u0435 \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>\u041f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438<\/p>\n<\/li>\n<li>\n<p>\u041a\u043e\u043d\u0432\u0435\u0439\u0435\u0440 11 \u2013 13 \u0441\u0442\u0430\u0434\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>8 \u043f\u043e\u0440\u0442\u043e\u0432 \u043d\u0430 \u0438\u0441\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435 \u043c\u0438\u043a\u0440\u043e\u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439:           <\/p>\n<ul>\n<li>\n<p>2 \u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0438\/\u0421\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f<\/p>\n<\/li>\n<li>\n<p>2 \u0446\u0435\u043b\u044b\u0445 \u0410\u041b\u0423 (\u0441\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u0441\u0434\u0432\u0438\u0433)<\/p>\n<\/li>\n<li>\n<p>1 \u0431\u043b\u043e\u043a \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>1 \u0410\u041b\u0423 \u0434\u043b\u044f \u0443\u043c\u043d\u043e\u0436\u0435\u043d\u0438\u044f, \u0434\u0435\u043b\u0435\u043d\u0438\u044f<\/p>\n<\/li>\n<li>\n<p>2 \u0431\u043b\u043e\u043a\u0430 SIMD\/FPU<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>3 \u0443\u0440\u043e\u0432\u043d\u0435\u0432\u044b\u0439 \u0434\u0435\u043a\u043e\u0434\u0435\u0440 \u043a\u043e\u043c\u0430\u043d\u0434 (6 \u043c\u0438\u043a\u0440\u043e\u0438\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u0439 \u0437\u0430 \u0446\u0438\u043a\u043b)<\/p>\n<\/li>\n<li>\n<p>\u041a\u0435\u0448\u0438<\/p>\n<ul>\n<li>\n<p>64 \u041a\u0411 L1 \u043a\u044d\u0448 \u043a\u043e\u043c\u0430\u043d\u0434 (4 \u043a\u0430\u043d\u0430\u043b\u044c\u043d\u044b\u0439, \u0430\u0441\u0441\u043e\u0446\u0438\u0430\u0442\u0438\u0432\u043d\u044b\u0439, \u0440\u0430\u0437\u043c\u0435\u0440 \u043b\u0438\u043d\u0438\u0438 64 \u0431\u0430\u0439\u0442\u0430)<\/p>\n<\/li>\n<li>\n<p>64 \u041a\u0411 L1 \u043a\u044d\u0448 \u0434\u0430\u043d\u043d\u044b\u0445 (4 \u043a\u0430\u043d\u0430\u043b\u044c\u043d\u044b\u0439, \u0430\u0441\u0441\u043e\u0446\u0438\u0430\u0442\u0438\u0432\u043d\u044b\u0439, \u0440\u0430\u0437\u043c\u0435\u0440 \u043b\u0438\u043d\u0438\u0438 64 \u0431\u0430\u0439\u0442\u0430)<\/p>\n<\/li>\n<li>\n<p>\u0412 \u0411\u0430\u0439\u043a\u0430\u043b-S 512 \u041a\u0411 L2 \u043d\u0430 1 \u044f\u0434\u0440\u043e (4 \u044f\u0434\u0440\u0430 \u0432 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0435), \u0432 \u0441\u0443\u043c\u043c\u0435 24 \u041c\u0411<\/p>\n<\/li>\n<li>\n<p>\u041a\u044d\u0448 L3: 24 \u041c\u0411 (2 \u041c\u0411 \u0432 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0435)<\/p>\n<\/li>\n<li>\n<p>\u041a\u044d\u0448 L4: 32 \u041c\u0411<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>Kunpeng 920<\/h4>\n<p>Kunpeng 920 \u2014 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043d\u044b\u0439 \u043a\u043e\u043c\u0430\u043d\u0438\u0435\u0439 HiSilicon (\u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442 \u0434\u043b\u044f Huawei) \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0433\u043b\u0443\u0431\u043e\u043a\u043e \u043c\u043e\u0434\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u043c\u0438\u043a\u0440\u043e\u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0435 Arm Cortex-A72 (TaiShan V110). \u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0442 32, 48 \u0438 64 \u044f\u0434\u0435\u0440\u043d\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 (3226, 4826, 6426).<\/p>\n<figure class=\"full-width\"><figcaption>Kunpeng 920<\/figcaption><\/figure>\n<figure class=\"full-width\"><figcaption>\u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 Cortex A72 &#8212; \u043e\u0441\u043d\u043e\u0432\u0430 TaiShan V110<\/figcaption><\/figure>\n<p>\u041e\u0441\u043e\u0431\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u044f\u0434\u0435\u0440 TaiShan V110 (\u0434\u043b\u044f 48 \u044f\u0434\u0435\u0440):<\/p>\n<ul>\n<li>\n<p>64 \u0431\u0438\u0442\u043d\u0430\u044f \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 armv8.2<\/p>\n<\/li>\n<li>\n<p>FP\/SIMD \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u044f VFPv4 \u0438 NEON<\/p>\n<\/li>\n<li>\n<p>\u0412\u043d\u0435\u043e\u0447\u0435\u0440\u0435\u0434\u043d\u043e\u0435 \u0438\u0441\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435<\/p>\n<\/li>\n<li>\n<p>\u0423\u043b\u0443\u0447\u0448\u0435\u043d\u043d\u044b\u0439 \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u044c \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>\u041f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438<\/p>\n<\/li>\n<li>\n<p>\u041a\u043e\u043d\u0432\u0435\u0439\u0435\u0440 11 \u2013 13 \u0441\u0442\u0430\u0434\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>8 \u043f\u043e\u0440\u0442\u043e\u0432 \u043d\u0430 \u0438\u0441\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435 \u043c\u0438\u043a\u0440\u043e\u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439:<\/p>\n<ul>\n<li>\n<p>2 \u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0438\/\u0421\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f<\/p>\n<\/li>\n<li>\n<p>2 \u0446\u0435\u043b\u044b\u0445 \u0410\u041b\u0423 (\u0441\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u0441\u0434\u0432\u0438\u0433)<\/p>\n<\/li>\n<li>\n<p>1 \u0431\u043b\u043e\u043a \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u0439<\/p>\n<\/li>\n<li>\n<p>1 \u0410\u041b\u0423 \u0434\u043b\u044f \u0443\u043c\u043d\u043e\u0436\u0435\u043d\u0438\u044f, \u0434\u0435\u043b\u0435\u043d\u0438\u044f<\/p>\n<\/li>\n<li>\n<p>2 \u0431\u043b\u043e\u043a\u0430 SIMD\/FPU<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>4 \u0443\u0440\u043e\u0432\u043d\u0435\u0432\u044b\u0439 \u0434\u0435\u043a\u043e\u0434\u0435\u0440 \u043a\u043e\u043c\u0430\u043d\u0434 (3 \u0443\u0440\u043e\u0432\u043d\u044f \u0432 Cortex-A72)<\/p>\n<\/li>\n<li>\n<p>\u041a\u0435\u0448\u0438<\/p>\n<ul>\n<li>\n<p>64 \u041a\u0411 L1 \u043a\u044d\u0448 \u043a\u043e\u043c\u0430\u043d\u0434 (4 \u043a\u0430\u043d\u0430\u043b\u044c\u043d\u044b\u0439, \u0430\u0441\u0441\u043e\u0446\u0438\u0430\u0442\u0438\u0432\u043d\u044b\u0439, \u0440\u0430\u0437\u043c\u0435\u0440 \u043b\u0438\u043d\u0438\u0438 64 \u0431\u0430\u0439\u0442\u0430)<\/p>\n<\/li>\n<li>\n<p>64 \u041a\u0411 L1 \u043a\u044d\u0448 \u0434\u0430\u043d\u043d\u044b\u0445 (4 \u043a\u0430\u043d\u0430\u043b\u044c\u043d\u044b\u0439, \u0430\u0441\u0441\u043e\u0446\u0438\u0430\u0442\u0438\u0432\u043d\u044b\u0439, \u0440\u0430\u0437\u043c\u0435\u0440 \u043b\u0438\u043d\u0438\u0438 64 \u0431\u0430\u0439\u0442\u0430)<\/p>\n<\/li>\n<li>\n<p>\u0412 Kunpeng 920 512 \u041a\u0411 L2 \u043d\u0430 1 \u044f\u0434\u0440\u043e (4 \u044f\u0434\u0440\u0430 \u0432 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0435), \u0432 \u0441\u0443\u043c\u043c\u0435 24 \u041c\u0411<\/p>\n<\/li>\n<li>\n<p>\u041a\u044d\u0448 L3: 48 \u041c\u0411 (4 \u041c\u0411 \u0432 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0435)<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>\u0420\u0430\u0437\u0431\u0438\u0440\u0430\u0435\u043c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b<\/h3>\n<h4>Coremark<\/h4>\n<p>\u0421\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0439 \u0442\u0435\u0441\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0434\u043e\u043b\u0436\u0435\u043d \u0437\u0430\u043c\u0435\u043d\u0438\u0442\u044c Dhrystone \u0438 Whetstone. \u041d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 C. \u0421\u0447\u0438\u0442\u0430\u0435\u0442 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u043c\u0430\u0441\u0441\u0438\u0432\u044b, \u043c\u0430\u0442\u0440\u0438\u0446\u044b, \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0430 \u043c\u0430\u0441\u0441\u0438\u0432\u043e\u0432 \u0438 \u0442. \u0434. \u041f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0430\u043b\u0441\u044f \u0434\u043b\u044f \u0437\u0430\u043f\u0443\u0441\u043a\u0430 \u043d\u0430 \u0432\u0441\u0451\u043c: \u043e\u0442 \u043c\u0438\u043a\u0440\u043e\u043a\u043e\u043d\u0442\u0440\u043e\u043b\u043b\u0435\u0440\u043e\u0432 \u0434\u043e \u043c\u043e\u0449\u043d\u044b\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u0432.<\/p>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043e\u0434\u043d\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Coremark \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">.\/coremark.exe 2K performance run parameters for coremark. CoreMark Size : 666 Total ticks : 14771 Total time (secs): 14.771000 Iterations\/Sec : 13540.044682 Iterations : 200000 Compiler version : GCC10.2.1 20210110 Compiler flags : -static -Ofast -funroll-all-loops -EL -falign-functions=16 -DPERFORMANCE_RUN=1 -lrt Memory location : Please put data memory location here (e.g. code in flash. data on heap etc)  seedcrc : 0xe9f5 [0]crclist : 0xe714 [0]crcmatrix : 0x1fd7 [0]crcstate : 0x8e3a [0]crcfinal : 0x4983 Correct operation validated. See readme.txt for run and reporting rules.  CoreMark 1.0 : 13540.044682 \/ GCC10.2.1 20210110 -static -Ofast -funroll-all- loops -EL -falign-functions=16 -DPERFORMANCE_RUN=1 -lrt \/ Heap<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043c\u043d\u043e\u0433\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Coremark \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code>.\/coremarkMT.exe 2K performance run parameters for coremark. CoreMark Size : 666 Total ticks : 14815 Total time (secs): 14.815000 Iterations\/Sec : 647991.900101 Iterations : 9600000 Compiler version : GCC10.2.1 20210110 Compiler flags : -static -Ofast -funroll-all-loops -EL -falign-functions=16 -DUSE_PHTREAD -DMULTITHREAD=48 -DPERFORMANCE_RUN=1 -lrt Parallel PThreads : 48 Memory location : Please put data memory location here (e.g. code in flash. data on heap etc)  seedcrc : 0xe9f5 [0]crclist : 0xe714 [1]crclist : 0xe714 ..... [46]crclist : 0xe714 [47]crclist : 0xe714 [0]crcmatrix : 0x1fd7 [1]crcmatrix : 0x1fd7 ..... [46]crcmatrix : 0x1fd7 [47]crcmatrix : 0x1fd7 [0]crcstate : 0x8e3a [1]crcstate : 0x8e3a [2]crcstate : 0x8e3a ..... [46]crcstate : 0x8e3a [47]crcstate : 0x8e3a [0]crcfinal : 0x4983 [1]crcfinal : 0x4983 [2]crcfinal : 0x4983 ..... [46]crcfinal : 0x4983 [47]crcfinal : 0x4983 Correct operation validated. See readme.txt for run and reporting rules.  CoreMark 1.0 : 647991.900101 \/ GCC10.2.1 20210110 -static -Ofast -funroll- all-loops -EL -falign-functions=16 -DUSE_PHTREAD -DMULTITHREAD=48 -  DPERFORMANCE_RUN=1 -lrt \/ Heap \/ 48:PThreads 2K performance run parameters for coremark.<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043e\u0434\u043d\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Coremark \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code>2K performance run parameters for coremark. CoreMark Size    : 666 Total ticks      : 16306 Total time (secs): 16.306000 Iterations\/Sec   : 18398.135656 Iterations       : 300000 Compiler version : GCC9.3.0 Compiler flags   : -Ofast -march=native  -DPERFORMANCE_RUN=1 -DUSE_FORK=1 -lrt Memory location  : Please put data memory location here (e.g. code in flash, data on heap etc) seedcrc          : 0xe9f5 [0]crclist       : 0xe714 [0]crcmatrix     : 0x1fd7 [0]crcstate      : 0x8e3a [0]crcfinal      : 0xcc42 Correct operation validated. See README.md for run and reporting rules. CoreMark 1.0 : 18398.135656 \/ GCC9.3.0 -Ofast -march=native  -DPERFORMANCE_RUN=1 -DUSE_FORK=1 -lrt \/ Heap <\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043c\u043d\u043e\u0433\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Coremark \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code>2K performance run parameters for coremark. CoreMark Size    : 666 Total ticks      : 14867 Total time (secs): 14.867000 Iterations\/Sec   : 1291450.864330 Iterations       : 19200000 Compiler version : GCCUbuntu Clang 12.0.0 Compiler flags   : -Ofast -march=armv8.2-a  -DPERFORMANCE_RUN=1 -DUSE_FORK=1 -lrt Parallel Fork : 96 Memory location  : Please put data memory location here (e.g. code in flash, data on heap etc) seedcrc          : 0xe9f5 [0]crclist       : 0xe714 [95]crcfinal      : 0x4983 Correct operation validated. See README.md for run and reporting rules. CoreMark 1.0 : 1291450.864330 \/ GCCUbuntu Clang 12.0.0 -Ofast -march=armv8.2-a  -DPERFORMANCE_RUN=1 -DUSE_FORK=1 -lrt \/ Heap \/ 96:Fork <\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<h4>Dhrystone<\/h4>\n<p>Dhrystone \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e \u0434\u0440\u0435\u0432\u043d\u0438\u0439 \u0442\u0435\u0441\u0442 80\u0445 \u0433\u043e\u0434\u043e\u0432, \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 C. \u0422\u0435\u0441\u0442\u0438\u0440\u0443\u0435\u0442 \u0446\u0435\u043b\u043e\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u0443\u044e \u0430\u0440\u0438\u0444\u043c\u0435\u0442\u0438\u043a\u0443 \u0438 \u0440\u0430\u0431\u043e\u0442\u0443 \u0441\u043e \u0441\u0442\u0440\u043e\u043a\u0430\u043c\u0438. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0438\u0437\u043c\u0435\u0440\u044f\u044e\u0442\u0441\u044f \u0432 Dhrystone\/s \u0438 DMIPS. (DMIPS = Dhrystone\/s \u0434\u0435\u043b\u0438\u0442\u044c \u043d\u0430 1757).<\/p>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 Dhrystone \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\"> #####################################################   Dhrystone Benchmark 2.1 arm armv8.1-a optimized, Thu Feb  4 19:41:16 2010   Nanoseconds one Dhrystone run:         42.44  Dhrystones per Second:              23561181  VAX MIPS rating =                   13409.89   Numeric results were correct<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u0442\u0435\u0441\u0442\u0430 Dhrystone \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 Kunpeng 920<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">Dhrystone Benchmark, Version 2.1 (Language: C or C++)  Optimisation    aarch64 armv8.2-a optimized Register option not selected         10000 runs   0.00 seconds        100000 runs   0.00 seconds       1000000 runs   0.03 seconds      10000000 runs   0.28 seconds      20000000 runs   0.55 seconds      40000000 runs   1.10 seconds      80000000 runs   2.19 seconds   Final values (* implementation-dependent):  Int_Glob:      O.K.  5  Bool_Glob:     O.K.  1 Ch_1_Glob:     O.K.  A  Ch_2_Glob:     O.K.  B Arr_1_Glob[8]: O.K.  7  Arr_2_Glob8\/7: O.K.    80000010 Ptr_Glob->              Ptr_Comp:       *    0xc0cf2a0   Discr:       O.K.  0  Enum_Comp:     O.K.  2   Int_Comp:    O.K.  17 Str_Comp:      O.K.  DHRYSTONE PROGRAM, SOME STRING Next_Ptr_Glob->         Ptr_Comp:       *    0xc0cf2a0 same as above   Discr:       O.K.  0  Enum_Comp:     O.K.  1   Int_Comp:    O.K.  18 Str_Comp:      O.K.  DHRYSTONE PROGRAM, SOME STRING Int_1_Loc:     O.K.  5  Int_2_Loc:     O.K.  13 Int_3_Loc:     O.K.  7  Enum_Loc:      O.K.  1   Str_1_Loc:                             O.K.  DHRYSTONE PROGRAM, 1'ST STRING Str_2_Loc:                             O.K.  DHRYSTONE PROGRAM, 2'ND STRING  Nanoseconds one Dhrystone run:        27.32 Dhrystones per Second:             36598414 VAX  MIPS rating =                 20830.06  <\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<h4>Whetstone<\/h4>\n<p>\u0422\u0435\u0441\u0442\u0438\u0440\u0443\u0435\u0442 \u0430\u0440\u0438\u0444\u043c\u0435\u0442\u0438\u043a\u0443 \u0441 \u043f\u043b\u0430\u0432\u0430\u044e\u0449\u0435\u0439\/\u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u0437\u0430\u043f\u044f\u0442\u043e\u0439, \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438, \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u044f, \u0432\u044b\u0437\u043e\u0432\u043e\u0432 \u0444\u0443\u043d\u043a\u0446\u0438\u0439, \u043f\u0440\u0438\u0441\u0432\u0430\u0438\u0432\u0430\u043d\u0438\u0439, \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u0447\u0438\u0441\u043b\u0430\u043c\u0438 \u0441 \u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u0437\u0430\u043f\u044f\u0442\u043e\u0439, \u0432\u0435\u0442\u0432\u043b\u0435\u043d\u0438\u0439. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0438\u0437\u043c\u0435\u0440\u044f\u044e\u0442\u0441\u044f \u0432 MMIPS.<\/p>\n<details class=\"spoiler\">\n<summary>\u0412\u044b\u0432\u043e\u0434 \u043e\u0434\u043d\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 Whetstone \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430 \u0411\u0430\u0439\u043a\u0430\u043b-S<\/summary>\n<div class=\"spoiler__content\">\n<pre><code class=\"bash\">======================================================================= BYTE UNIX Benchmarks (Version 5.1.3)  System: dbs: GNU\/Linux OS: GNU\/Linux -- 5.4.197-baikal-arm64 -- #72 SMP PREEMPT Mon Sep 06 20:59:55 MSK 2022 Machine: aarch64 (unknown) Language: en_US.utf8 (charmap=\"UTF-8\". collate=\"UTF-8\") 17:40:34 up 38 min. 2 users. load average: 8.44. 17.34. 9.11; runlevel 5  ------------------------------------------------------------------------ Benchmark Run: Sep 09 2022 17:40:34 - 17:45:20 0 CPUs in system; running 1 parallel copy of tests  Dhrystone 2 using register variables 23561181.9 lps (10.0 s. 7 samples) Double-Precision Whetstone 4702.4 MWIPS (9.9 s. 7 samples)<\/code><\/pre>\n<\/p>\n<\/div>\n<\/details>\n<details class=\"spoiler\">\n<summary>\u0412\u044b<\/summary>\n<\/details>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-340322","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/340322","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=340322"}],"version-history":[{"count":0,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/340322\/revisions"}],"wp:attachment":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=340322"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=340322"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=340322"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}