Simran12solanki

🚀 KMPMLBench - Benchmark ML Apps with Ease

👋 Overview

KMPMLBench is a cross-platform performance lab for machine learning. It allows you to benchmark popular frameworks such as TFLite, ONNX, NCNN, MNN, and ExecuTorch. You can run this tool on Android, iOS, and Desktop. Whether you are testing models for mobile apps or desktop applications, KMPMLBench simplifies the process.

📥 Download KMPMLBench

🚀 Getting Started

To begin, you need to download KMPMLBench. You can obtain the latest version from our Releases page.

1. Click the link below to visit the page:

   Visit Releases Page

2. On the Releases page, locate the version you need. You will find multiple files depending on your operating system.

3. Once you choose the correct file, download it to your device.

💻 System Requirements

To run KMPMLBench, your device should meet these minimum requirements:

• For Desktop:
  • Windows 10 or later, macOS, or a compatible Linux distribution
  • At least 4 GB of RAM
  • 500 MB of free disk space
• For Android:
  • Android 5.0 or later
  • 1 GB of RAM or more
• For iOS:
  • iOS 11 or later
  • 1 GB of RAM or more

🛠 Install KMPMLBench

After downloading KMPMLBench, follow these simple steps to install it:

For Windows:

1. Locate the downloaded file, typically found in your “Downloads” folder.
2. Double-click the .exe file to start the installer.
3. Follow the on-screen prompts to complete the installation.

For macOS:

1. Open the downloaded .dmg file.
2. Drag the KMPMLBench icon to your “Applications” folder.
3. Eject the .dmg file.

For Linux:

1. Open a terminal window.
2. Navigate to the folder where you downloaded the file.
3. Run the following command to extract the files:

   tar -xzf KMPMLBench.tar.gz
   

4. Change to the KMPMLBench directory and run:

   ./KMPMLBench
   

For Android:

1. Open the downloaded APK file on your device.
2. Allow installations from unknown sources in your device settings if prompted.
3. Follow the installation steps on your screen.

For iOS:

1. Open the App Store and search for KMPMLBench.
2. Tap “Get” to download the app.

🎯 How to Use KMPMLBench

Once you have KMPMLBench installed, you can start benchmarking your models.

1. Launch the application.
2. Choose the framework you wish to test (TFLite, ONNX, NCNN, MNN, ExecuTorch).
3. Import the model you want to benchmark.
4. Click the “Start Benchmark” button to initiate the testing process.
5. Review the results displayed on the screen.

📊 Results Interpretation

KMPMLBench provides clear results showing how each model performs on your chosen platform.

• You will see metrics such as inference time, memory usage, and accuracy.
• Compare the results across different frameworks to determine which works best for your needs.

🛠 Additional Resources

For more details, tips, and troubleshooting, check out the following resources:

• User Guide
• FAQ
• Support

🔗 Useful Links

• Releases Page
• Documentation
• Contribution Guidelines

📝 Feedback

We appreciate your feedback. If you run into any issues or have suggestions for improvements, feel free to open an issue in the repository.

Thank you for using KMPMLBench! We hope it helps you with your machine learning projects effectively.