Apple M3 (10-core GPU) × Llama 3.2 1B Instruct

Llama 3.2 1B Instruct on Apple M3 (10-core GPU)

68.2best gen tok/s
944best prompt tok/s
4,352max context tested
12results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_K - Medium68.2944LocalScore ↗512+1281,404 msllamafile 0.9.2
Q4_K - Medium67.9939LocalScore ↗512+1281,409 msllamafile 0.9.2
Q4_K - Medium67.8937LocalScore ↗512+1281,411 msllamafile 0.9.2
Q4_K - Medium67.8938LocalScore ↗512+1281,405 msllamafile 0.9.2
Q4_K - Medium67.0927LocalScore ↗512+1281,417 msllamafile 0.9.2
Q4_K - Medium66.8938LocalScore ↗4,3521,411 msllamafile 0.9.2
Q4_K - Medium66.3931LocalScore ↗512+1281,390 msllamafile 0.9.2
Q4_K - Medium65.8906LocalScore ↗512+1281,433 msllamafile 0.9.2
Q4_K - Medium65.6927LocalScore ↗512+1281,412 msllamafile 0.9.2
Q4_K - Medium65.0907LocalScore ↗4,3521,464 msllamafile 0.9.2
Q4_K - Medium63.7917LocalScore ↗512+1281,455 msllamafile 0.9.2
Q4_K - Medium59.5874LocalScore ↗512+1281,441 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 M3 (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.