Apple M4 Pro (16-core GPU) × Qwen2.5 14B Instruct

Qwen2.5 14B Instruct on Apple M4 Pro (16-core GPU)

16.9best gen tok/s
161best prompt tok/s
4,352max context tested
11results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_K - Medium16.9156LocalScore ↗512+1288,130 msllamafile 0.9.2
Q4_K - Medium16.8161LocalScore ↗512+1287,844 msllamafile 0.9.2
Q4_K - Medium16.7154LocalScore ↗4,3528,239 msllamafile 0.9.2
Q4_K - Medium16.7157LocalScore ↗4,3528,025 msllamafile 0.9.2
Q4_K - Medium16.7153LocalScore ↗512+1288,316 msllamafile 0.9.2
Q4_K - Medium16.6153LocalScore ↗4,3528,281 msllamafile 0.9.2
Q4_K - Medium16.6153LocalScore ↗512+1288,254 msllamafile 0.9.2
Q4_K - Medium16.5150LocalScore ↗512+1288,487 msllamafile 0.9.2
Q4_K - Medium16.5156LocalScore ↗512+1288,101 msllamafile 0.9.2
Q4_K - Medium16.1151LocalScore ↗512+1288,461 msllamafile 0.9.2
Q4_K - Medium10.9116LocalScore ↗512+12810,946 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 M4 Pro (16-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.