RigBench data 2026-10-22

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Muse Spark Open on the Apple M3 Ultra

Muse Spark Open runs at about 18.0 tokens/s on the Apple M3 Ultra (measured, Q2_K, Metal, single-stream llama-server decode).

Best measured generation18.0tok/s

Q2_K · Metal

The source gives no prompt-processing figure.

For comparison, our size-scaling estimate for this combination is 14.1 tok/s.

Every run

QuantBackendGenerate tok/sPrompt tok/sTestBuild / by / notesSource
Q2_KMetal 18.0–decode, llama.cpp server 512 GB M3 Ultra, ggml-org imatrix Q2_K GGUF on llama.cpp; prompt length not stated.Hugging Face blog: Welcome Muse Spark Open

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. "decode, llama-server" = single-stream generation speed measured against a running llama-server (no speculative decoding).

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Muse Spark Open · Apple M3 Ultra: 18.0 tok/s (Q2_K, measured)

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