Apple M1 Pro (16-core GPU) × Qwen2.5 14B Instruct
Qwen2.5 14B Instruct on Apple M1 Pro (16-core GPU)
11.9best gen tok/s
108best prompt tok/s
640max context tested
5results
Measured · all numbers below come from the linked sources
llama.cpp
| Quant | Gen tok/s | Prompt tok/s | Source | Context tested | TTFT | Build |
|---|---|---|---|---|---|---|
| Q4_K - Medium | 11.9 | 107 | LocalScore ↗ | 512+128 | 11,835 ms | llamafile 0.9.2 |
| Q4_K - Medium | 11.9 | 106 | LocalScore ↗ | 512+128 | 11,998 ms | llamafile 0.9.2 |
| Q4_K - Medium | 11.9 | 108 | LocalScore ↗ | 512+128 | 11,735 ms | llamafile 0.9.2 |
| Q4_K - Medium | 11.6 | 105 | LocalScore ↗ | 512+128 | 11,998 ms | llamafile 0.9.2 |
| Q4_K - Medium | 11.2 | 99.2 | LocalScore ↗ | 512+128 | 12,601 ms | llamafile 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 M1 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.