{"id":184055,"date":"2026-10-31T23:40:30","date_gmt":"2026-10-31T21:40:30","guid":{"rendered":"https:\/\/prohoster.info\/blog\/news\/vypusk-paketa-testirovaniya-proizvoditelnosti-chimbabenchcl-1-2-ispolzuyushhego-opencl"},"modified":"2026-10-31T23:40:33","modified_gmt":"2026-10-31T21:40:33","slug":"chimbabenchcl-1-2-opencl-based-benchmark-suite-released","status":"publish","type":"post","link":"https:\/\/prohoster.info\/fr\/blog\/news\/chimbabenchcl-1-2-opencl-based-benchmark-suite-released","title":{"rendered":"Sortie du package de test de performance ChimbaBenchCL 1.2, utilisant OpenCL","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>La version 1.2 de ChimbaBenchCL, un test de performance multiplateforme destin\u00e9 \u00e0 \u00e9valuer les performances des cartes graphiques et des processeurs utilisant l'API OpenCL, a \u00e9t\u00e9 publi\u00e9e. Le projet est \u00e9crit en C et distribu\u00e9 sous licence MIT. Des fichiers ex\u00e9cutables pr\u00e9compil\u00e9s sont disponibles pour les syst\u00e8mes d'exploitation Linux 64 bits (x86_64), FreeBSD et Windows 7+. Une version 32 bits (x86) est disponible pour Windows XP+ et Linux (Glibc 2.7+).<\/p>\n<p>Pour ex\u00e9cuter ChimbaBenchCL, un appareil prenant en charge l'API OpenCL 1.0 ou sup\u00e9rieur et disposant d'au moins 512 Mo de m\u00e9moire vid\u00e9o (GeForce 8000+, Radeon HD 4000+, Intel Gen7+) est n\u00e9cessaire. Le test d'un appareil prend en moyenne 20 \u00e0 30 secondes. Les options de lancement \u00ab -disable-gpu* \u00bb et \u00ab -disable-cpu \u00bb sont pr\u00e9vues pour exclure un mat\u00e9riel d\u00e9fectueux ou mal fonctionnel. La liste compl\u00e8te des options est disponible avec la commande \u00ab \u2014help \u00bb.<\/p>\n<p>La version 1.2 comprend un ensemble de tests fondamentaux :<\/p>\n<ul>\n<li class=\"l\"> Largeur de bande PCIe \u2014 test de la capacit\u00e9 de la bus PCI Express.\n<li class=\"l\"> Largeur de bande VRAM \u2014 test de la capacit\u00e9 de la m\u00e9moire.\n<li class=\"l\"> Latence VRAM \u2014 test des d\u00e9lais d'acc\u00e8s al\u00e9atoire \u00e0 la m\u00e9moire.\n<li class=\"l\"> FP16-H8 \u2014 test de calculs avec le type half8.\n<li class=\"l\"> FP32-F8 \u2014 test de calculs avec le type float8.\n<li class=\"l\"> FP32-FMA et FP32-MAD \u2014 tests de pr\u00e9cision simple utilisant les instructions FMA et MAD.\n<li class=\"l\"> FP64-D4 \u2014 test de calculs avec le type double4.\n<li class=\"l\"> INT8-U16, INT32-I4, INT64-L2 \u2014 tests de calculs avec diff\u00e9rents types entiers.\n<li class=\"l\"> Flou d'image \u2014 simulation de traitement graphique dans des t\u00e2ches r\u00e9elles (Box Blur, 1920\u00d71080).\n<\/ul>\n<p>Compar\u00e9 \u00e0 d'autres tests OpenCL, tels que ProjectPhysX OpenCL-Benchmark, Intel Compute Benchmarks, Spector, Sycl-bench, Mixbench et LuxMark, ChimbaBenchCL se positionne comme une alternative l\u00e9g\u00e8re, sans les restrictions de l'EULA et sans impacts sur les r\u00e9sultats des tests.<br \/>\n<br \/>Source : <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=66582\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0421\u043e\u0441\u0442\u043e\u044f\u043b\u0441\u044f \u0432\u044b\u043f\u0443\u0441\u043a \u043a\u0440\u043e\u0441\u0441\u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435\u043d\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 ChimbaBenchCL 1.2, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0432\u0438\u0434\u0435\u043e\u043a\u0430\u0440\u0442 \u0438 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u0432 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c API OpenCL. \u041f\u0440\u043e\u0435\u043a\u0442 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f C \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u0441\u0432\u043e\u0431\u043e\u0434\u043d\u043e\u0439 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 MIT. \u0414\u043e\u0441\u0442\u0443\u043f\u043d\u044b \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0441\u043a\u043e\u043c\u043f\u0438\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u0438\u0441\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0435 \u0444\u0430\u0439\u043b\u044b \u0434\u043b\u044f 64-\u0431\u0438\u0442\u043d\u044b\u0445 (x86_64) \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c Linux (Glibc 2.7+), FreeBSD \u0438 Windows 7+. 32-\u0431\u0438\u0442\u043d\u0430\u044f (x86) \u0432\u0435\u0440\u0441\u0438\u044f \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u0430 \u0434\u043b\u044f Windows XP+ \u0438 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":10,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-184055","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0421\u043e\u0441\u0442\u043e\u044f\u043b\u0441\u044f \u0432\u044b\u043f\u0443\u0441\u043a \u043a\u0440\u043e\u0441\u0441\u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435\u043d\u043d\u043e\u0433\u043e \u0442\u0435\u0441\u0442\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 ChimbaBenchCL 1.2, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0433\u043e \u0434\u043b\u044f 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