Apple M3 Pro (18-core GPU) × Qwen2.5 14B Instruct

Qwen2.5 14B Instruct on Apple M3 Pro (18-core GPU)

12.3best gen tok/s
151best prompt tok/s
4,352max context tested
9results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_K - Medium12.3147LocalScore ↗4,3528,658 msllamafile 0.9.2
Q4_K - Medium12.2151LocalScore ↗512+1288,546 msllamafile 0.9.2
Q4_K - Medium12.1149LocalScore ↗512+1288,573 msllamafile 0.9.2
Q4_K - Medium12.1149LocalScore ↗512+1288,566 msllamafile 0.9.2
Q4_K - Medium12.0144LocalScore ↗512+1288,953 msllamafile 0.9.2
Q4_K - Medium11.7147LocalScore ↗4,3528,823 msllamafile 0.9.2
Q4_K - Medium11.7146LocalScore ↗512+1288,853 msllamafile 0.9.2
Q4_K - Medium11.6144LocalScore ↗512+1288,970 msllamafile 0.9.2
Q4_K - Medium11.2141LocalScore ↗512+1289,107 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 M3 Pro (18-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.