Apple M1 Pro (16-core GPU) × Llama 3.2 1B Instruct

Llama 3.2 1B Instruct on Apple M1 Pro (16-core GPU)

82.3best gen tok/s
1,204best prompt tok/s
4,352max context tested
13results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_K - Medium82.31,197LocalScore ↗512+128999 msllamafile 0.9.2
Q4_K - Medium81.11,198LocalScore ↗512+1281,000 msllamafile 0.9.2
Q4_K - Medium80.51,204LocalScore ↗512+1281,002 msllamafile 0.9.0
Q4_K - Medium80.01,192LocalScore ↗512+1281,006 msllamafile 0.9.2
Q4_K - Medium79.11,177LocalScore ↗512+1281,021 msllamafile 0.9.2
Q4_K - Medium78.81,204LocalScore ↗512+1281,008 msllamafile 0.9.2
Q4_K - Medium78.71,150LocalScore ↗512+1281,029 msllamafile 0.9.2
Q4_K - Medium78.51,193LocalScore ↗4,3521,011 msllamafile 0.9.2
Q4_K - Medium78.11,190LocalScore ↗512+1281,009 msllamafile 0.9.2
Q4_K - Medium75.61,122LocalScore ↗512+1281,054 msllamafile 0.9.2
Q4_K - Medium72.51,078LocalScore ↗512+1281,075 msllamafile 0.9.2
Q4_K - Medium68.61,068LocalScore ↗512+1281,144 msllamafile 0.9.2
Q5_K - Medium66.81,079LocalScore ↗512+1281,111 msllamafile 0.9.3

Ollama

No measured Ollama results yet. Submit yours →

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 M1 Pro (16-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.