Apple M4 (10-core GPU) × Qwen2.5 14B Instruct

Qwen2.5 14B Instruct on Apple M4 (10-core GPU)

9.8best gen tok/s
96.3best 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 - Medium9.894.2LocalScore ↗512+12813,170 msllamafile 0.9.2
Q4_K - Medium9.696.3LocalScore ↗512+12813,304 msllamafile 0.9.2
Q4_K - Medium9.695.8LocalScore ↗512+12813,391 msllamafile 0.9.2
Q4_K - Medium9.694.3LocalScore ↗4,35213,622 msllamafile 0.9.2
Q4_K - Medium9.591.6LocalScore ↗4,35213,889 msllamafile 0.9.2
Q4_K - Medium9.493.7LocalScore ↗4,35213,734 msllamafile 0.9.2
Q4_K - Medium9.293.3LocalScore ↗512+12813,715 msllamafile 0.9.2
Q4_K - Medium9.290.4LocalScore ↗512+12814,524 msllamafile 0.9.2
Q4_K - Medium8.573.6LocalScore ↗512+12816,808 msllamafile 0.9.2
Q4_K - Medium8.171.2LocalScore ↗512+12816,850 msllamafile 0.9.2
Q4_K - Medium8.070.5LocalScore ↗512+12817,301 msllamafile 0.9.2
Q4_K - Medium6.561.3LocalScore ↗512+12820,420 msllamafile 0.9.2

Ollama

No measured Ollama results yet. Submit yours →

MLX

No measured MLX results yet. Submit yours →

"Context tested" is the largest prompt+generation length actually benchmarked (tokens), not a memory-fit estimate.

What else can Apple M4 (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.