Apple M1 (7-core GPU) × Llama 3.2 1B Instruct

Llama 3.2 1B Instruct on Apple M1 (7-core GPU)

38.9best gen tok/s
544best prompt tok/s
4,352max context tested
8results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_K - Medium38.9537LocalScore ↗512+1282,432 msllamafile 0.9.2
Q4_K - Medium38.6536LocalScore ↗512+1282,429 msllamafile 0.9.2
Q4_K - Medium38.5544LocalScore ↗512+1282,390 msllamafile 0.9.2
Q4_K - Medium38.4540LocalScore ↗512+1282,400 msllamafile 0.9.2
Q4_K - Medium38.4528LocalScore ↗512+1282,427 msllamafile 0.9.2
Q4_K - Medium38.3535LocalScore ↗512+1282,430 msllamafile 0.9.2
Q4_K - Medium37.3509LocalScore ↗4,3522,517 msllamafile 0.9.2
Q4_K - Medium36.0503LocalScore ↗512+1282,592 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 M1 (7-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.