Leaderboard/Qwen3-0.6B-4bit/M3 Ultra (60-core GPU)/r_6rgao6ao735

Qwen3-0.6B-4bit on M3 Ultra (60-core GPU) + 96GB unified

Name: Qwen3-0.6B-4bit on M3 Ultra (60-core GPU) + 96GB unified
Creator: llm-speed
License: https://creativecommons.org/licenses/by/4.0/
Keywords: LLM benchmark, tokens per second, Qwen3-0.6B-4bit, M3 Ultra (60-core GPU) + 96GB unified, mlx

M3 Ultra (60-core GPU) + 96GB unified

suite suite-v1

cli 0.0.3

signedG8xb3zMu3+…

Embed badgesubmitted Jul 12, 2026

https://llm-speed.com/r/r_6rgao6ao735

Workload results

Workload	Backend	Model	decode tok/s	prefill tok/s	TTFT	p50	p95
chat-short	mlx@0.31.3	mlx-community/Qwen3-0.6B-4bit	429.2tok/s	1,185.2tok/s	92.8ms	2.3ms	2.7ms
chat-long	mlx@0.31.3	mlx-community/Qwen3-0.6B-4bit	334.3tok/s	6,893.3tok/s	457ms	3.0ms	3.1ms
concurrent-decode	mlx@0.31.3	mlx-community/Qwen3-0.6B-4bit	368.7tok/s	—	—	2.6ms	3.0ms
agent-trace	mlx@0.31.3	mlx-community/Qwen3-0.6B-4bit	368.5tok/s	8,617.7tok/s	233ms	2.7ms	3.0ms

Reproduce on your machine

Same workload, same model, signed at your rig. The exact command that produced this run:

$ pipx install llm-speed && llm-speed bench --model 'mlx-community/Qwen3-0.6B-4bit' --workload 'chat-short'

Runs in about a minute. Your number lands on the leaderboard signed and linkable. How it's measured.

Embed this run

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[![llm-speed: 429 tok/s on M3 Ultra (60-core GPU) (Qwen3-0.6B-4bit)](https://llm-speed.com/badge/r_6rgao6ao735.svg)](https://llm-speed.com/r/r_6rgao6ao735)

Related benchmarks

More Qwen3-0.6B-4bit benchmarks — every backend and rig that has run this model.
More M3 Ultra (60-core GPU) LLM benchmarks — every model measured on this hardware.

Provenance

Run ID: r_6rgao6ao735
Fingerprint hash: bbf15132ccbbe7d7
Public key: G8xb3zMu3+pznEici/TiW0gPk5qSNIYIikGCwm1rMdQ=
Received: 2026-07-12 10:04:35