Saturday, October 24, 2026 4,350 lists 78,096 records on file
List your app or device

  1. Home
  2. PC benchmark tools
  3. StreamBench

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

Alternatives to StreamBench

Every alternative, ranked