Skip to content
llm-speed
Needs review (flagged 2026-10-13): This 3B-model result (19.4 tok/s) is slower than 7B and 8B models measured on the same M3 Pro, which is unexpected. It is kept public while it is reviewed.

stable-code-instruct-3b-4bit on M3 Pro (18-core GPU) + 36GB unified

MeasuredOn 2026-04-28, stable-code-instruct-3b-4bit ran at 19.4 tok/s (chat-short) on an M3 Pro (18-core GPU) with mlx. Run r_pqjsvd-cub4.

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/stable-code-instruct-3b-4bit19.37tok/s131.3tok/s967ms17.5ms45.1ms

Reproduce on your machine

Start with this model and workload selection. This command does not capture the original artifact, backend version or server settings:

Match quantization, context capacity, caching and runtime settings for a useful comparison. Duration varies by workload and hardware; the published client may differ from this run's version. How it's measured.

Share this run

Copy the short link, a Reddit-ready summary, or a README badge. Every number is the measured result on this page, and each badge links back to it.

llm-speed: 19.4 tok/s on M3 Pro (18-core GPU) (stable-code-instruct-3b-4bit)
https://llm-speed.com/r/r_pqjsvd-cub4

Related benchmarks

Provenance

Run ID
r_pqjsvd-cub4
Fingerprint hash
a52e5dd258afe436
Public key
S8711zXnpsbOS9F8EZCne0DE3jWiyeYAqEDECBzTVWk=
Received
2026-04-28 14:00:02