Apple M2 Pro (16-core GPU) × Deepseek-R1-0528-Qwen3-8B
Deepseek-R1-0528-Qwen3-8B on Apple M2 Pro (16-core GPU)
23.1best gen tok/s
223best prompt tok/s
640max context tested
1results
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 | 23.1 | 223 | LocalScore ↗ | 512+128 | 5,586 ms | llamafile 0.9.3 |
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 M2 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.