Llama 3.2 1B Instruct › Apple M5 (10-core GPU)

Llama 3.2 1B Instruct on the Apple M5 (10-core GPU)

Best measured: 99.1 tokens/s generation and 1,275 tokens/s prompt processing (Q4_K_M, llamafile).

For comparison, our size-scaling estimate for this combination is 110 tok/s.

Every run

QuantBackendGenerate tok/sPrompt tok/sTestBuild / by / notesSource
Q4_K_Mllamafile 99.81,287LocalScore avg LocalScore rank 176/878LocalScore (localscore.ai)
Q4_K_Mllamafile 98.21,275LocalScore avg LocalScore rank 178/878LocalScore (localscore.ai)
Q4_K_Mllamafile 99.11,253LocalScore avg LocalScore rank 179/878LocalScore (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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