ROCm加持出图效率翻倍！AMD RX 7900 XT Linux系统 AI性能体验

快科技官方04-11

一、ROCm加持出图效率翻倍！AMD RX 7900 XT Linux系统 AI性能体验ROCm：一个可移植、高性能的GPU计算平台随着AI时代的来临，显卡的作用不再仅仅只局限于游戏，特别是在Stable Diffusion火爆全网之后，越来越多的玩家将显卡当成AIGC生产力工具。只不过，Stable Diffusion的早期版本对AMD显卡支持不太友好，给大家造成了只有N卡才适合玩AI的错觉。...

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AMD RX 7900 XT Linux System AI Performance Experience","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"XT":1,"AMD":1,"GFS":1},"content_text":"一、ROCm加持出图效率翻倍！AMD RX 7900 XT Linux系统 AI性能体验ROCm：一个可移植、高性能的GPU计算平台随着AI时代的来临，显卡的作用不再仅仅只局限于游戏，特别是在Stable Diffusion火爆全网之后，越来越多的玩家将显卡当成AIGC生产力工具。只不过，Stable Diffusion的早期版本对AMD显卡支持不太友好，给大家造成了只有N卡才适合玩AI的错觉。可能很多同学不知道的是，AMD的Radeon GPU也是能够做深度学习的，而且性能也并不差。去年12月份，AMD推出的ROCm 6.0开发平台进一步优化了RX 7000系列显卡的AI性能，特别是Stable Diffusion的出图效率更是获得了翻倍提升。\n\n\n\n\n这里先解释一下什么是AMD ROCm！ROCm （Radeon Open Compute Platform ）是 AMD 基于开源项目的 GPU计算生态系统，类似于 NVIDIA 的 CUDA。ROCm 支持多种编程语言、编译器、库和工具，以加速科学计算、自动驾驶、人工智能和机器学习等领域的应用。ROCm还支持多种加速器厂商和架构，提供了开放的可移植性和互操作性。目前深度学习开发一般都是使用Python的，而大数据平台往往都会部署在Linux操作系统之上，因此，AMD ROCm目前主要精力放在Linux系统上，Windows端则还有待完善。\n\n\n\n\n\n\n\n\n\n\n\n\n得益于双发射设计的流处理器单元，RX 7900 XT仅凭5376个流处理器就达到了55.4TFOPS的单精度浮点运算性能，而拥有10240个流处理器的RTX 4080 Super浮点性能同样也是55TFOPS。至于RX 7900 XTX，其单精度浮点性能则接近60TFOPS。Stable Diffusion主要依赖GPU的单精度浮点性能以及显存容量与带宽，这两方面RX 7900 XT都不逊于RTX 4080 SUPER，甚至显存容量还更大一些。现在有了AMD ROCm 6.0的加持，终于可以发挥出这张顶级显卡的强大的AI算力。二、Stable Diffusion出图速度对比：Linux系统下出图效率近乎翻倍测试平台如下：\n\n\n\n\n本次我们主要对比RX 7900 XT/XTX在Ubuntu与windows系统下的出图效率，看看AMD ROCm到底能带来多大提升。1、RX 7900 XT对比测试首先是Windows 11系统，打开Stable Diffusion之后，我们设置DPN++ 2M Karras采样、迭代步数50、Euler a采样、1024x768分辨率、CFG为7、总批次10，单批数量1。\n\n\n\n\n在Windows系统下，RX 7900 XT基于DirectML加速模式生成10张图共计耗时9分51秒，也就是591秒。\n\n\n\n\n进入Ubuntu 22.04.3 LTS系统，设置好ROCm之后，同样的参数与模型生成10张图只用掉了5分05秒，即305秒。对比之下，在Ubuntu 22.04.3 LTS系统下，RX 7900 XT的出图效率相比Windows系统高了足足94%。2、RX 7900 XTX对比测试使用同样的参数来测试RX 7900 XTX显卡。\n\n\n\n\n在Windows系统下，RX 7900 XTX基于DirectML加速模式生成10张图总计耗时9分18秒，也就是558秒。\n\n\n\n\n进入Ubuntu 22.04.3 LTS系统，设置好ROCm之后，同样的参数与模型生成10张图只用掉了4分45秒，即285秒。在Ubuntu 22.04.3 LTS系统下，RX 7900 XTX的出图效率相比Windows系统领先了96%，也就是近乎翻倍的性能提升。三、小结：高性价比的AIGC显卡目前一张非公RX 7900 XT售价在5299元左右，对位的非公RTX 4080 Super售价则是8599元，N卡贵了60%。其实在游戏性能方面，这两款显卡并没有太大差距。现在AMD也意识到了AI应用对于GPU的重要性，加大了对AMD ROCm平台的投入，经过不断的更新，如今AMD ROCm 6.0在AI算力方面的提升早已超出了大多数玩家的预知。在我们的测试中，RX 7900 XT在Linux系统下使用Stable Diffusion ROCm 6.0版时，其出图效率几乎是Windows系统的2倍。再加上55TFOPS的单精度浮点运算性能以及20GB GDDR6X超大容量显存，对于有较高专业AIGC应用需求的专业用户而言，在有限的预算下，RX 7900 XT可以说是非常适合的选择。当然，也希望AMD能够继续优化ROCm在Windows系统下的性能表现，让更多的AMD用户能拥有自己的高性价比AIGC显卡。\n\n\n\n\n【本文结束】如需转载请务必注明出处：快科技责任编辑：流云","kind":null,"is_publish_news":null,"is_publish_highlight":null,"is_publish_live":null,"is_publish_wemedia":null,"editions":null,"symbols":[],"gpt_button":1},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":false,"deviceId":"web-server-community-laohu8-v3","version":"4.22.4","shortVersion":"4.22.4","platform":"web","vendor":"web","appName":"laohu8","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2426012237"}