{"id":47,"date":"2020-08-25T13:17:06","date_gmt":"2020-08-25T13:17:06","guid":{"rendered":"http:\/\/1x-vision.net\/blog\/?p=47"},"modified":"2020-08-25T20:48:04","modified_gmt":"2020-08-25T20:48:04","slug":"pigbench-the-eevee-benchmark","status":"publish","type":"post","link":"https:\/\/1x-vision.net\/blog\/2020\/08\/25\/pigbench-the-eevee-benchmark\/","title":{"rendered":"PIGBENCH &#8211; A BLENDER EEVEE GPU BENCHMARK"},"content":{"rendered":"\n<p>I was curious how different GPUs perform with the internal <a href=\"http:\/\/blender.org\" data-type=\"URL\" data-id=\"blender.org\">Blender 2.8X <\/a><a href=\"https:\/\/docs.blender.org\/manual\/en\/latest\/render\/eevee\/introduction.html\" data-type=\"URL\" data-id=\"https:\/\/docs.blender.org\/manual\/en\/latest\/render\/eevee\/introduction.html\">EEVEE<\/a> renderer. To my surprise I couldn&#8217;t find (m)any comparisons. <\/p>\n\n\n\n<p>So I modeled an origami pig and <a href=\"http:\/\/1x-vision.net\/_share\/2020-08-18-pigbench\/PigBench-v01.zip\" data-type=\"URL\" data-id=\"http:\/\/1x-vision.net\/_share\/2020-08-18-pigbench\/PigBench-v01.zip\">made a quick and dirty benchmark<\/a>. Mainly to compare how different GPU and CPU combinations perform when they render 10 frames of Animation.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"3362\" height=\"934\" src=\"https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/02-eevee-fpm-2.png\" alt=\"\" class=\"wp-image-91\" srcset=\"https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/02-eevee-fpm-2.png 3362w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/02-eevee-fpm-2-300x83.png 300w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/02-eevee-fpm-2-1024x284.png 1024w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/02-eevee-fpm-2-768x213.png 768w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/02-eevee-fpm-2-1536x427.png 1536w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/02-eevee-fpm-2-2048x569.png 2048w\" sizes=\"(max-width: 3362px) 100vw, 3362px\" \/><figcaption>EEVEE performance &#8211; Rendering 10 frames of animation.<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"3366\" height=\"1020\" src=\"https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/03-unigine-valley-basic-1.png\" alt=\"\" class=\"wp-image-89\" srcset=\"https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/03-unigine-valley-basic-1.png 3366w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/03-unigine-valley-basic-1-300x91.png 300w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/03-unigine-valley-basic-1-1024x310.png 1024w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/03-unigine-valley-basic-1-768x233.png 768w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/03-unigine-valley-basic-1-1536x465.png 1536w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/03-unigine-valley-basic-1-2048x621.png 2048w\" sizes=\"(max-width: 3366px) 100vw, 3366px\" \/><figcaption>The same setups benchmarked with the <a href=\"https:\/\/benchmark.unigine.com\/valley\" data-type=\"URL\" data-id=\"https:\/\/benchmark.unigine.com\/valley\">Unigine Valley Benchmark<\/a> (Basic preset)<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"3364\" height=\"1020\" src=\"https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/04-furmark-1.png\" alt=\"\" class=\"wp-image-90\" srcset=\"https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/04-furmark-1.png 3364w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/04-furmark-1-300x91.png 300w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/04-furmark-1-1024x310.png 1024w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/04-furmark-1-768x233.png 768w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/04-furmark-1-1536x466.png 1536w, https:\/\/1x-vision.net\/blog\/wp-content\/uploads\/2020\/08\/04-furmark-1-2048x621.png 2048w\" sizes=\"(max-width: 3364px) 100vw, 3364px\" \/><figcaption>And the<a href=\"https:\/\/www.geeks3d.com\/furmark\/\" data-type=\"URL\" data-id=\"https:\/\/www.geeks3d.com\/furmark\/\"> Furmark benchmark <\/a>&#8220;720p&#8221; preset<\/figcaption><\/figure>\n\n\n\n<p>Some of my conclusions:<\/p>\n\n\n\n<p>-Older gaming GPUs that still perform decent in games are really slow<\/p>\n\n\n\n<p>-Internal GPUs that perform pretty bad in games perform much better in EEVEE than I thought <\/p>\n\n\n\n<p>-With older hardware: You can&#8217;t judge the EEVEE performance of a GPU from gaming-benchmarks<\/p>\n\n\n\n<p>-Some EEVEE FX and Features are not supported by older GPUs (probably buggy drivers?)<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>And by the way: If you want to improve your EEVEE render performance for animations \/ image sequences &#8211; don&#8217;t forget that a single instance of blender never maxes out your GPU. Sometimes you need around 2 to 4 instances of blender to max out your system.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>If you want to try the benchmark yourself: Here&#8217;s the download link: <a href=\"http:\/\/1x-vision.net\/_share\/2020-08-18-pigbench\/PigBench-v01.zip\" data-type=\"URL\" data-id=\"http:\/\/1x-vision.net\/_share\/2020-08-18-pigbench\/PigBench-v01.zip\">http:\/\/1x-vision.net\/_share\/2020-08-18-pigbench\/PigBench-v01.zip<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I was curious how different GPUs perform with the internal Blender 2.8X EEVEE renderer. To my surprise I couldn&#8217;t find (m)any comparisons. So I modeled an origami pig and made a quick and dirty benchmark. Mainly to compare how different GPU and CPU combinations perform when they render 10 frames of Animation. Some of my [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":82,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[2],"tags":[10,6,12,7,9,8],"_links":{"self":[{"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/posts\/47"}],"collection":[{"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/comments?post=47"}],"version-history":[{"count":10,"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/posts\/47\/revisions"}],"predecessor-version":[{"id":94,"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/posts\/47\/revisions\/94"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/media\/82"}],"wp:attachment":[{"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/media?parent=47"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/categories?post=47"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/1x-vision.net\/blog\/wp-json\/wp\/v2\/tags?post=47"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}