Llama 3.2 1B Instruct › AMD Radeon 780M

Llama 3.2 1B Instruct on the AMD Radeon 780M

Best measured: 11.0 tokens/s generation and 582 tokens/s prompt processing (Q4_K_M, llamafile).

For comparison, our size-scaling estimate for this combination is 18.8 tok/s.

Every run

QuantBackendGenerate tok/sPrompt tok/sTestBuild / by / notesSource
Q4_K_Mllamafile 11.7690LocalScore avg LocalScore rank 367/878LocalScore (localscore.ai)
Q4_K_Mllamafile 12.1632LocalScore avg LocalScore rank 382/878LocalScore (localscore.ai)
Q4_K_Mllamafile 11.0640LocalScore avg LocalScore rank 390/878LocalScore (localscore.ai)
Q4_K_Mllamafile 11.5617LocalScore avg LocalScore rank 395/878LocalScore (localscore.ai)
Q4_K_Mllamafile 11.2572LocalScore avg LocalScore rank 418/878LocalScore (localscore.ai)
Q4_K_Mllamafile 10.3592LocalScore avg LocalScore rank 419/878LocalScore (localscore.ai)
Q4_K_Mllamafile 11.0567LocalScore avg LocalScore rank 427/878LocalScore (localscore.ai)
Q4_K_Mllamafile 7.5506LocalScore avg LocalScore rank 496/878LocalScore (localscore.ai)
Q4_K_Mllamafile 9.5334LocalScore avg LocalScore rank 575/878LocalScore (localscore.ai)
Q4_K_Mllamafile 5.9399LocalScore avg LocalScore rank 581/878LocalScore (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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