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Apple Mac Studio with M5 Ultra challenges Nvidia DGX Spark in AI benchmarks

By PulseAugur Editorial · [1 sources] ·

Apple's Mac Studio, equipped with the M5 Ultra SoC, is being benchmarked against Nvidia's DGX Spark for local AI performance. The Mac Studio, featuring a 36-core CPU and 80-core GPU with Neural Accelerators, and up to 512GB of unified memory, shows impressive results in agentic AI tasks. In tests using the AgentPerf-Local benchmark with the Qwen 3.8 27B model via llama.cpp, the Mac Studio completed the task in under half the time of a DGX Spark-like system and consumed 16% less energy. AI

IMPACT Demonstrates competitive local AI inference capabilities on high-end consumer hardware, potentially impacting enterprise adoption.

RANK_REASON The article benchmarks local AI performance on consumer hardware against enterprise-grade hardware. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Tom's Hardware →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Apple Mac Studio with M5 Ultra challenges Nvidia DGX Spark in AI benchmarks

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8 / 100
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Tool
The article benchmarks local AI performance on consumer hardware against enterprise-grade hardware. [lever_c_demoted from research: ic=1 ai=0.7]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, product
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

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

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

    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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