tiiny-bench
An independent benchmark for the Tiiny AI Pocket Lab. Measures what the box actually does: prefill scaling, sustained throughput, concurrency and reasoning cost, with NPU budget as the currency. Web app plus a self-contained HTML report. Python stdlib only.
It measures the things a spec sheet does not: how prefill scales with prompt length, whether throughput holds over a long generation, what actually happens when more than one person uses the box at once, and what a reasoning model charges for the tokens nobody reads. Every number is recorded next to the NPU utilisation and memory it was taken under, because tokens per second without the load context is not evidence.
⚡ How to use tiiny-bench
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/titanium-devops-tiiny-benchCapabilities
Do you own tiiny-bench?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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