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On the recordRead 11 Oct 202626 facts
StreamBench
On the record
- AI backends
- The AI inference benchmark supports Microsoft Foundry Local, LM Studio, and Ollama.github.com · read 11 Oct 2026
- AI integrations
- It supports Microsoft Foundry Local, LM Studio, and Ollama as AI backends.github.com · read 11 Oct 2026
- AI measurements
- The AI benchmark reports model load time, first-run response time, and warm-run tokens per second.github.com · read 11 Oct 2026
- Array size
- The README recommends using arrays at least four times larger than the largest cache and notes that small sizes can be skewed by cache effects.github.com · read 11 Oct 2026
- Automation
- Range testing can sweep array sizes and save consolidated CSV output.github.com · read 11 Oct 2026
- CLI or automation
- Yesgithub.com · read 22 Sep 2026
- Custom test profiles
- Yesgithub.com · read 22 Sep 2026
- Device coverage
- Foundry Local supports CPU, GPU, and NPU benchmarking; LM Studio and Ollama do not support NPU benchmarking.github.com · read 11 Oct 2026
- Downloads
- The project offers prebuilt binaries for Windows and macOS, with x64 and ARM64 variants.github.com · read 11 Oct 2026
- GPU testing
- The GPU memory bandwidth backend uses OpenCL, which the project says is loaded dynamically without a GPU SDK dependency.github.com · read 11 Oct 2026
- Intended users
- The README describes it as aimed at users seeking a quick visual benchmark with prebuilt binaries, GPU coverage, and AI inference comparisons on modern hardware.github.com · read 11 Oct 2026
- Limits
- The project is focused on single-node benchmarking and does not include the MPI support listed for upstream STREAM.github.com · read 11 Oct 2026
- Linux support
- The README documents macOS and Linux launch scripts and says the project can be built from source on Linux.github.com · read 11 Oct 2026
- macOS limitation
- Foundry Local on macOS currently supports GPU mode only, without CPU or NPU device targeting.github.com · read 11 Oct 2026
- Measured AI metrics
- It reports model load time, first-response time, and warm-run tokens per second.github.com · read 11 Oct 2026
- Memory tests
- Its CPU and GPU benchmarks run the Copy, Scale, Add, and Triad STREAM kernels.github.com · read 11 Oct 2026
- NPU limitation
- NPU benchmarking requires Foundry Local; the README says LM Studio and Ollama do not support NPU benchmarking.github.com · read 11 Oct 2026
- Operating systems
- Windows; macOS; Linuxgithub.com · read 22 Sep 2026