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M5 Ultra chip shows promising LLM benchmark performance

By PulseAugur Editorial · [1 sources] ·

Benchmarks for the new M5 Ultra chip have surfaced, showing promising performance for local large language models. Early tests indicate that the M5 Ultra can process the Qwen 3.8 27B model at speeds of 50 tokens per second for throughput and 1800 tokens per second for prompt processing at an 8k context length. These results suggest the M5 Ultra could be a capable hardware option for running LLMs efficiently on local devices. AI

IMPACT Early benchmarks suggest the M5 Ultra chip could offer strong performance for running local LLMs, potentially improving accessibility and efficiency for users.

RANK_REASON The cluster discusses benchmarks for a new chip, which falls under AI-adjacent hardware.

Read on r/LocalLLaMA →

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

M5 Ultra chip shows promising LLM benchmark performance

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The cluster discusses benchmarks for a new chip, which falls under AI-adjacent hardware.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Deutsch(DE) · /u/Ashefromapex ·

    First M5 Ultra benchmarks

    <!-- SC_OFF --><div class="md"><p>just saw some benchmarks on the omlx website for the m5 ultra (don’t know how official they are but they seem reasonable): <a href="https://omlx.ai/benchmarks/performance?model=&amp;chip=&amp;device=%5B%22M5%22%2C%22Ultra%22%5D&amp;quantization=&…

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