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Detect GPU\n\n[![npm version](https://badge.fury.io/js/detect-gpu.svg)](https://badge.fury.io/js/detect-gpu)\n[![gzip size](https://img.badgesize.io/https:/unpkg.com/detect-gpu/dist/detect-gpu.esm.js?compression=gzip)](https://unpkg.com/detect-gpu)\n[![install size](https://packagephobia.now.sh/badge?p=detect-gpu)](https://packagephobia.now.sh/result?p=detect-gpu)\n\nClassifies GPUs based on their 3D rendering benchmark score allowing the developer to provide sensible default settings for graphically intensive applications. Think of it like a user-agent detection for the GPU but more powerful.\n\n## Demo\n\n[Live demo](https://pmndrs.github.io/detect-gpu/)\n\n## Installation\n\nBy default we use the [UNPKG](https://unpkg.com) CDN to host the benchmark data. If you would like to serve the benchmark data yourself download the required benchmarking data from [benchmarks.tar.gz](https://github.com/pmndrs/detect-gpu/raw/master/benchmarks.tar.gz) and serve it from a public directory.\n\nMake sure you have [Node.js](http://nodejs.org/) installed.\n\n```sh\n $ npm install detect-gpu\n```\n\n## Usage\n\n```ts\nimport { getGPUTier } from 'detect-gpu';\n\n(async () => {\n  const gpuTier = await getGPUTier();\n\n  // Example output:\n  // {\n  //   \"tier\": 1,\n  //   \"isMobile\": false,\n  //   \"type\": \"BENCHMARK\",\n  //   \"fps\": 21,\n  //   \"gpu\": \"intel iris graphics 6100\"\n  // }\n})();\n```\n\n`detect-gpu` uses rendering benchmark scores (framerate, normalized by resolution) in order to determine what tier should be assigned to the user's GPU. If no `WebGLContext` can be created, the GPU is blocklisted or the GPU has reported to render on less than `15 fps` `tier: 0` is assigned. One should provide a fallback to a non-WebGL experience.\n\nBased on the reported `fps` the GPU is then classified into either `tier: 1 (>= 15 fps)`, `tier: 2 (>= 30 fps)` or `tier: 3 (>= 60 fps)`. The higher the tier the more graphically intensive workload you can offer to the user.\n\n## API\n\n```ts\ngetGPUTier({\n  /**\n   * URL of directory where benchmark data is hosted.\n   *\n   * @default https://unpkg.com/detect-gpu@{version}/dist/benchmarks\n   */\n  benchmarksURL?: string;\n  /**\n   * Optionally pass in a WebGL context to avoid creating a temporary one\n   * internally.\n   */\n  glContext?: WebGLRenderingContext | WebGL2RenderingContext;\n  /**\n   * Whether to fail if the system performance is low or if no hardware GPU is\n   * available.\n   *\n   * @default false\n   */\n  failIfMajorPerformanceCaveat?: boolean;\n  /**\n   * Framerate per tier for mobile devices.\n   *\n   * @defaultValue [0, 15, 30, 60]\n   */\n  mobileTiers?: number[];\n  /**\n   * Framerate per tier for desktop devices.\n   *\n   * @defaultValue [0, 15, 30, 60]\n   */\n  desktopTiers?: number[];\n  /**\n   * Optionally override specific parameters. Used mainly for testing.\n   */\n  override?: {\n    renderer?: string;\n    /**\n     * Override whether device is an iPad.\n     */\n    isIpad?: boolean;\n    /**\n     * Override whether device is a mobile device.\n     */\n    isMobile?: boolean;\n    /**\n     * Override device screen size.\n     */\n    screenSize?: { width: number; height: number };\n    /**\n     * Override how benchmark data is loaded\n     */\n    loadBenchmarks?: (file: string) => Promise<ModelEntry[]>;\n  };\n})\n```\n\n## Support\n\nSpecial care has been taken to make sure all browsers that support `WebGL` are also supported by `detect-gpu` including `IE 11`.\n\n## Changelog\n\n[Changelog](CHANGELOG.md)\n\n## Licence\n\nMy work is released under the [MIT license](https://raw.githubusercontent.com/pmndrs/detect-gpu/master/LICENSE).\n\n`detect-gpu` uses both mobile and desktop benchmarking scores from [https://gfxbench.com](https://gfxbench.com).","users":{}}