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English(EN) Going deep on local AI performance benchmarking with Apple’s Mac Studio with M5 Ultra taking on Nvidia DGX Spark

Apple Mac Studio搭载M5 Ultra在AI基准测试中挑战Nvidia DGX Spark

作者 PulseAugur 编辑部 · [1 个来源] ·

搭载M5 Ultra SoC的Apple Mac Studio正与Nvidia DGX Spark进行本地AI性能基准测试。Mac Studio配备了36核CPU和80核GPU，并集成神经网络加速器，拥有高达512GB的统一内存，在代理AI任务中表现出色。在使用llama.cpp通过AgentPerf-Local基准测试Qwen 3.8 27B模型时，Mac Studio完成任务的时间不到DGX Spark类系统的二分之一，且能耗降低了16%。 AI

影响 展示了高端消费级硬件在本地AI推理方面的竞争力，可能影响企业采用。

排序理由 文章将消费级硬件上的本地AI性能与企业级硬件进行了基准测试。[lever_c_demoted from research: ic=1 ai=0.7]

在 Tom's Hardware 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Apple Mac Studio搭载M5 Ultra在AI基准测试中挑战Nvidia DGX Spark

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文章将消费级硬件上的本地AI性能与企业级硬件进行了基准测试。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. Tom's Hardware TIER_1 English(EN) · Jeffrey Kampman ·

    深入评测 Apple M5 Ultra 芯片的 Mac Studio 在本地 AI 性能上与 Nvidia DGX Spark 对决

    But if you're thinking about dropping over $10K for the purpose of building a local AI inference setup, is a Mac Studio right for you?

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