Qwen2.5 14B Instruct › Apple M4 (10-core GPU)

Qwen2.5 14B Instruct on the Apple M4 (10-core GPU)

Best measured: 9.0 tokens/s generation and 87 tokens/s prompt processing (Q4_K_M, llamafile).

For comparison, our size-scaling estimate for this combination is 11.1 tok/s.

Every run

QuantBackendGenerate tok/sPrompt tok/sTestBuild / by / notesSource
Q4_K_Mllamafile 9.192LocalScore avg LocalScore rank 171/418LocalScore (localscore.ai)
Q4_K_Mllamafile 9.087LocalScore avg LocalScore rank 173/418LocalScore (localscore.ai)
Q4_K_Mllamafile 8.679LocalScore avg LocalScore rank 178/418LocalScore (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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