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On the recordRead 11 Oct 202617 facts
clpeak
Plans and prices
Free
Free
GPL-3.0 licensed software
Read 11 Oct 2026 · krrishnarraj.github.io
On the record
- AI runtimes
- AI runtime backends include ONNX Runtime, Core ML and LiteRT.krrishnarraj.github.io · read 11 Oct 2026
- App features
- The app lists detected devices, streams results as measured, and keeps run history that users can rename and export as JSON.krrishnarraj.github.io · read 11 Oct 2026
- Benchmark coverage
- Tests cover compute, matrix engines, vendor libraries, bandwidth, latency, AI workloads and CPU-specific operations.krrishnarraj.github.io · read 11 Oct 2026
- CLI or automation
- Yesgithub.com · read 23 Sep 2026
- Command line
- The CLI can select devices, backends and test categories, describe measurements, save runs as JSON and compare against saved runs.krrishnarraj.github.io · read 11 Oct 2026
- Comparison
- It runs the same tests through available device APIs so results from one machine can be compared side by side.krrishnarraj.github.io · read 11 Oct 2026
- Comparison database
- Nogithub.com · read 23 Sep 2026
- Distribution
- Releases provide platform zip files containing the CLI and app, backend variants, and a macOS app DMG; Linux is also available through Snap and Android through Google Play.krrishnarraj.github.io · read 11 Oct 2026
- GPU backends
- GPU backends include CUDA, ROCm/HIP, Metal, oneAPI/SYCL, Vulkan and OpenCL.krrishnarraj.github.io · read 11 Oct 2026
- License
- The project is GPL-3.0 licensed.krrishnarraj.github.io · read 11 Oct 2026
- Operating systems
- Windows; macOS; Linux; iOS; Androidgithub.com · read 23 Sep 2026
- Purpose
- clpeak measures peak compute throughput, memory bandwidth and latency on CPUs, GPUs and NPUs.krrishnarraj.github.io · read 11 Oct 2026
- Result export formats
- JSONgithub.com · read 23 Sep 2026
- Security detail
- The release binaries are not signed with a developer certificate, so Windows and macOS prompt users before first launch.krrishnarraj.github.io · read 11 Oct 2026
- Support
- The project directs users to open a GitHub issue and attach verbose run diagnostics when reporting bugs.krrishnarraj.github.io · read 11 Oct 2026
- Workload areas
- compute throughput; memory bandwidth; matrix throughput; kernel launch latency; AI inferencegithub.com · read 23 Sep 2026
