Apple M2 (10-core GPU) × Meta Llama 3.1 8B Instruct
Meta Llama 3.1 8B Instruct on Apple M2 (10-core GPU)
21.6best gen tok/s
187best 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 | 21.6 | 187 | LocalScore ↗ | 512+128 | 6,857 ms | llamafile 0.9.2 |
| Q4_K - Medium | 15.2 | 144 | LocalScore ↗ | 512+128 | 8,926 ms | llamafile 0.9.2 |
| Q4_K - Medium | 14.9 | 143 | LocalScore ↗ | 512+128 | 8,963 ms | llamafile 0.9.2 |
| Q4_K - Medium | 14.7 | 142 | LocalScore ↗ | 512+128 | 9,023 ms | llamafile 0.9.2 |
| Q4_K - Medium | 14.0 | 135 | LocalScore ↗ | 512+128 | 9,488 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 M2 (10-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.