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llm-speed

phi-4-4bit on M3 Pro (18-core GPU) + 36GB unified

M3 Pro (18-core GPU) + 36GB unifiedM3 Pro (18-core GPU) + 36GB unified
suite suite-v1
cli 0.0.1-dev
signedS8711zXnps…
Embed badgesubmitted Apr 28, 2026

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortmlx@0.31.3mlx-community/phi-4-4bit15.61tok/s120.7tok/s936ms64.0ms66.7ms

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 phi-4 --workload 'chat-short'

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

Embed this run

Drop the badge into a README, blog post, or signature. Each render is a backlink to the signed result.

llm-speed: 15.6 tok/s on M3 Pro (18-core GPU) (phi-4-4bit)
[![llm-speed: 15.6 tok/s on M3 Pro (18-core GPU) (phi-4-4bit)](https://llm-speed.com/badge/r_-w8hnn61va_.svg)](https://llm-speed.com/r/r_-w8hnn61va_)

Related benchmarks

Provenance

Run ID
r_-w8hnn61va_
Fingerprint hash
a52e5dd258afe436
Public key
S8711zXnpsbOS9F8EZCne0DE3jWiyeYAqEDECBzTVWk=
Received
2026-04-28 14:39:43