Bonnie++ vs clpeak
Bonnie++
github.comclpeak
github.comSide by side
| Figure | Bonnie++ | clpeak |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · PC Benchmark Software | 8.4 (#10) | 8.4 (#11) |
| Spec score · PC benchmark tools | 7.9 (#36) | 8.0 (#33) |
| License | The project documentation states that Bonnie++ is licensed under GPL version 2.0. | The project is GPL-3.0 licensed. |
| Purpose | Bonnie++ benchmarks hard drives and file systems by measuring work per second and CPU usage. | clpeak measures peak compute throughput, memory bandwidth and latency on CPUs, GPUs and NPUs. |
Plans
In their own words
Bonnie++
Bonnie++ is a free, command-line benchmark suite for measuring filesystem and disk I/O performance on Linux. It exercises sequential input and output, rewrites, random seeks, and file operations including creation, stat, and deletion of many small files. The project describes these workloads as useful for investigating I/O bottlenecks in I/O-intensive applications, including database work, and for simulating file activity associated with Squid or INN. Bonnie++ can test more than 2 GB of storage on a 32-bit machine. Its -D option enables direct I/O for bulk tests, while -b calls fsync after each write and syncs the directory after file creation or deletion. Semaphore support can synchronize multiple instances. Results can be emitted as plain text or CSV, with companion tools to convert CSV into HTML or formatted plain text. The project is licensed under GPL version 2.0, and the repository includes source code and Debian, RPM, and Sun-related packaging files. Its documentation warns against running the benchmark on live production machines because it can affect services and consume disk space or inodes.
clpeak
clpeak is free GPL-3.0 software that benchmarks peak compute throughput, memory bandwidth, and latency on CPUs, GPUs, and NPUs. It runs the same tests through available device APIs so results can be compared between machines. Coverage includes compute, matrix engines, vendor libraries, bandwidth, latency, AI workloads, and CPU-specific operations. GPU backends include CUDA, ROCm/HIP, Metal, oneAPI/SYCL, Vulkan, and OpenCL; AI runtimes include ONNX Runtime, Core ML, and LiteRT. The app detects devices, streams measurements, and keeps renameable run history that can be exported as JSON. Its CLI selects devices, backends, and test categories, describes measurements, saves JSON runs, and compares saved runs. It runs on Windows, macOS, Linux, iOS, and Android. Releases include platform archives, a macOS DMG, Snap distribution, and Google Play availability.