Apple M5 Pro (20-core GPU) × Qwen2.5 14B Instruct
Qwen2.5 14B Instruct on Apple M5 Pro (20-core GPU)
24.3best gen tok/s
221best prompt tok/s
4,352max 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 | 24.3 | 221 | LocalScore ↗ | 4,352 | 5,665 ms | llamafile 0.9.2 |
| Q4_K - Medium | 24.2 | 217 | LocalScore ↗ | 512+128 | 5,759 ms | llamafile 0.9.2 |
| Q4_K - Medium | 24.0 | 217 | LocalScore ↗ | 4,352 | 5,789 ms | llamafile 0.9.2 |
| Q4_K - Medium | 23.7 | 216 | LocalScore ↗ | 4,352 | 5,843 ms | llamafile 0.9.2 |
| Q4_K - Medium | 23.6 | 216 | LocalScore ↗ | 4,352 | 5,800 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 M5 Pro (20-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.