Apple M2 (10-core GPU) × Llama 3.2 1B Instruct

Llama 3.2 1B Instruct on Apple M2 (10-core GPU)

60.0best gen tok/s
846best prompt tok/s
640max context tested
11results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_K - Medium60.0837LocalScore ↗512+1281,554 msllamafile 0.9.2
Q4_K - Medium60.0835LocalScore ↗512+1281,555 msllamafile 0.9.2
Q4_K - Medium60.0846LocalScore ↗512+1281,553 msllamafile 0.9.2
Q4_K - Medium59.9827LocalScore ↗512+1281,559 msllamafile 0.9.2
Q4_K - Medium57.7793LocalScore ↗512+1281,624 msllamafile 0.9.2
Q4_K - Medium57.0831LocalScore ↗512+1281,577 msllamafile 0.9.2
Q4_K - Medium57.0819LocalScore ↗512+1281,576 msllamafile 0.9.2
Q4_K - Medium56.5805LocalScore ↗512+1281,669 msllamafile 0.9.2
Q4_K - Medium53.9822LocalScore ↗512+1281,586 msllamafile 0.9.2
Q4_K - Medium48.3774LocalScore ↗512+1281,597 msllamafile 0.9.2
Q4_K - Medium43.1725LocalScore ↗512+1281,638 msllamafile 0.9.2

Ollama

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MLX

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"Context tested" is the largest prompt+generation length actually benchmarked (tokens), not a memory-fit estimate.

What else can Apple M2 (10-core GPU) run? →

Includes results from LocalScore, a Mozilla Builders project by cjpais, mirrored in the cn0303/local-llm-speed-benchmarks dataset. LocalScore runs use llamafile, which is built on llama.cpp.