Apple M3 Pro (14-core GPU) × Qwen2.5 14B Instruct

Qwen2.5 14B Instruct on Apple M3 Pro (14-core GPU)

12.2best gen tok/s
121best 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 - Medium12.2121LocalScore ↗512+12810,562 msllamafile 0.9.2
Q4_K - Medium12.2120LocalScore ↗4,35210,669 msllamafile 0.9.2
Q4_K - Medium12.0119LocalScore ↗512+12810,734 msllamafile 0.9.2
Q4_K - Medium11.9117LocalScore ↗512+12810,755 msllamafile 0.9.2
Q4_K - Medium11.9117LocalScore ↗512+12810,830 msllamafile 0.9.2
Q4_K - Medium11.9119LocalScore ↗512+12810,790 msllamafile 0.9.2
Q4_K - Medium11.8115LocalScore ↗512+12811,300 msllamafile 0.9.2
Q4_K - Medium9.9102LocalScore ↗4,35213,165 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 Pro (14-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.