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Model Benchmarking
WebGPU Embedding Benchmark

WebGPU Embedding Benchmark

Measure BERT model performance using WASM and WebGPU

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What is WebGPU Embedding Benchmark ?

The WebGPU Embedding Benchmark is a tool designed to measure the performance of BERT models using WebAssembly (WASM) and WebGPU. It provides a platform to evaluate and compare the efficiency of embedding models across different hardware and software configurations. This benchmark is particularly useful for developers and researchers looking to optimize machine learning workloads in web-based environments.

Features

  • Performance Measurement: Accurately measures inference time and throughput for BERT models.
  • WASM Integration: Leverages WebAssembly for efficient model execution in web browsers.
  • WebGPU Support: Utilizes WebGPU for accelerated computations on modern GPUs.
  • Cross-Platform Compatibility: Runs on multiple platforms, including Windows, macOS, and Linux.
  • Customizable Benchmarks: Allows users to configure model parameters and testing scenarios.
  • Detailed Reporting: Provides comprehensive results for analysis and optimization.

How to use WebGPU Embedding Benchmark ?

  1. Install Dependencies: Ensure you have the latest versions of Emscripten, Node.js, and a compatible web browser installed.
  2. Build the Project: Use Emscripten to compile the WebGPU-enabled benchmarking tool.
  3. Set Up a Local Server: Serve the benchmark using a local web server to run in a browser environment.
  4. Run the Benchmark: Open the benchmark in a WebGPU-supported browser and execute the tests.
  5. Configure Settings: Adjust model configurations (e.g., input size, precision) as needed.
  6. Analyze Results: Review the performance metrics and use them to optimize your model or hardware setup.

Frequently Asked Questions

What is the difference between WebGL and WebGPU?
WebGPU is the successor to WebGL, offering improved performance and better support for modern GPUs. WebGPU provides more efficient memory management and faster computation for machine learning tasks.

Which browsers support WebGPU?
As of now, WebGPU is supported in Chrome, Edge, and Safari Technology Preview. Ensure your browser is up-to-date to run the benchmark effectively.

How can I ensure consistent benchmark results?
To achieve consistent results, run the benchmark in a controlled environment with minimal background processes. Ensure the system's GPU is not under heavy load from other applications.

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