Llama 3.1 8B Instruct › Apple M2 Pro (16-core GPU)
Llama 3.1 8B Instruct on the Apple M2 Pro (16-core GPU)
Best measured: 24.2 tokens/s generation and 220 tokens/s prompt processing (Q4_K_M, llamafile).
For comparison, our size-scaling estimate for this combination is 34.1 tok/s.
Every run
| Quant | Backend | Generate tok/s | Prompt tok/s | Test | Build / by / notes | Source |
|---|---|---|---|---|---|---|
| Q4_K_M | llamafile | 24.3 | 225 | LocalScore avg | LocalScore rank 144/422 | LocalScore (localscore.ai) |
| Q4_K_M | llamafile | 24.1 | 216 | LocalScore avg | LocalScore rank 148/422 | LocalScore (localscore.ai) |
tg128 = generating 128 tokens; pp512 = reading a 512-token prompt (llama-bench). LocalScore averages several prompt and output lengths, so its numbers run lower than tg128.
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