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Infrastructure & DevOps

oMLX

Last updated 2026-08-31 · benchmark measured 2026-08-31 — deterministic & reproducible

oMLX is a macOS-native LLM inference server optimized for Apple Silicon.

63/100
7/7 frames
Top 87% of 14,138 measured
Legit Benchmark — the simple average of 7 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-08-31 · scores move as sites change

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Legit.Show scored oMLX 63/100 on 2026-08-31, measured across all 7 frames from its public surface. legit.show/s/omlx-ai/2026-08-31

Is oMLX production-ready?

Legit.Show scores oMLX 63 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on oMLX (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

What we measured

Who it's for

Mac developers · AI coding agents · Cursor/Claude Code users · ML engineers · Local AI enthusiasts

Pricing

Free (open source, Apache 2.0)

Sources and updates

Description
Taken from omlx.ai's own website on 2026-08-31.
Benchmark
Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-08-31.

Put together from public information, without oMLX's involvement. If anything here is wrong, tell us and a person will check it.

Visit oMLX → · Alternatives to oMLX → · How this was measured →

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