Qwen2.5 14B Instruct › Apple M2 Max (38-core GPU)

Qwen2.5 14B Instruct on the Apple M2 Max (38-core GPU)

Best measured: 22.0 tokens/s generation and 226 tokens/s prompt processing (Q4_K_M, llamafile).

For comparison, our size-scaling estimate for this combination is 37.0 tok/s.

Every run

QuantBackendGenerate tok/sPrompt tok/sTestBuild / by / notesSource
Q4_K_Mllamafile 25.2252LocalScore avg LocalScore rank 105/418LocalScore (localscore.ai)
Q4_K_Mllamafile 20.6226LocalScore avg LocalScore rank 110/418LocalScore (localscore.ai)
Q4_K_Mllamafile 22.0223LocalScore avg LocalScore rank 113/418LocalScore (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.

Check prices

Amazon

As an Amazon Associate I earn from qualifying purchases.

No card yet?

Try it on a rented GPU (RunPod)

Affiliate link: if you sign up, RigBench may earn a referral credit. It never affects rankings or numbers.

All results for the Apple M2 Max (38-core GPU) · Qwen2.5 14B Instruct on other hardware