Apple M3 Max (40-core GPU) × Qwen2.5 14B Instruct

Qwen2.5 14B Instruct on Apple M3 Max (40-core GPU)

25.5best gen tok/s
303best prompt tok/s
4,352max context tested
6results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_K - Medium25.5303LocalScore ↗512+1284,113 msllamafile 0.9.2
Q4_K - Medium25.5302LocalScore ↗512+1284,029 msllamafile 0.9.2
Q4_K - Medium24.0296LocalScore ↗4,3524,077 msllamafile 0.9.2
Q4_K - Medium23.6287LocalScore ↗4,3524,269 msllamafile 0.9.2
Q4_K - Medium13.9202LocalScore ↗512+1286,648 msllamafile 0.9.2
Q4_K - Medium13.7200LocalScore ↗512+1286,666 msllamafile 0.9.2

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 M3 Max (40-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.