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van Scherpenzeel"},"license":"MIT","homepage":"https://github.com/pmndrs/detect-gpu#readme","keywords":["gpu","detect","webgl","webgl2","three.js","babylonjs","three","babylon","3d","typescript","javascript"],"repository":{"url":"git+https://github.com/pmndrs/detect-gpu.git","type":"git"},"description":"Classify GPU's based on their benchmark score in order to provide an adaptive experience.","maintainers":[{"name":"abernier","email":"antoine.bernier@gmail.com"},{"name":"pmndrs01","email":"gnosissur@gmail.com"},{"name":"drcmda","email":"drcmda@gmail.com"},{"name":"bjornstar","email":"bjorn@bjornstar.com"},{"name":"dennissmolek","email":"dennis@smolek.dev"},{"name":"bela-bohlender","email":"bela@bohlender.email"},{"name":"isaacmason","email":"isaac@isaacmason.com"},{"name":"krispyaa","email":"kjbaumgartner@gmail.com"}],"readme":"# @pmndrs/detect-gpu\n\n[![npm version](https://img.shields.io/npm/v/@pmndrs/detect-gpu.svg)](https://www.npmjs.com/package/@pmndrs/detect-gpu)\n[![npm downloads](https://img.shields.io/npm/dm/@pmndrs/detect-gpu.svg)](https://www.npmjs.com/package/@pmndrs/detect-gpu)\n[![gzip size](https://img.badgesize.io/https:/unpkg.com/@pmndrs/detect-gpu/dist/index.mjs?compression=gzip)](https://unpkg.com/@pmndrs/detect-gpu)\n\n> **Migrating from `detect-gpu`?** This package has moved to `@pmndrs/detect-gpu`. Update your imports:\n>\n> ```diff\n> - import { getGPUTier } from 'detect-gpu';\n> + import { getGPUTier } from '@pmndrs/detect-gpu';\n> ```\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> **Note:** Our benchmark data source ([gfxbench.com](https://gfxbench.com)) stopped updating in December 2025. The current data remains accurate for existing GPUs, but we are exploring alternative data sources for future updates. See [#132](https://github.com/pmndrs/detect-gpu/issues/132) for progress.\n\n## Demo\n\n[Live demo](https://pmndrs.github.io/detect-gpu/)\n\n## Installation\n\n```sh\npnpm add @pmndrs/detect-gpu\n```\n\n```sh\nnpm install @pmndrs/detect-gpu\n```\n\n```sh\nyarn add @pmndrs/detect-gpu\n```\n\n## Self-hosting benchmark data\n\nBy default benchmark data is loaded from the [UNPKG](https://unpkg.com) CDN (`https://unpkg.com/@pmndrs/detect-gpu@{version}/dist/benchmarks`). To serve it yourself (e.g. for offline environments, strict CSP, or to avoid a third-party CDN):\n\n1. Download [benchmarks.tar.gz](https://github.com/pmndrs/detect-gpu/raw/master/benchmarks.tar.gz) and extract it into a publicly served directory — for example `public/benchmarks/` in your app.\n2. Point `getGPUTier` at that URL via the `benchmarksURL` option:\n\n```ts\nconst gpuTier = await getGPUTier({\n benchmarksURL: '/benchmarks',\n});\n```\n\nThe directory must be served at the exact URL passed in — `detect-gpu` appends filenames like `/benchmarks-d-*.json` to it when fetching.\n\n## Usage\n\n```ts\nimport { getGPUTier } from '@pmndrs/detect-gpu';\n\nconst 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`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## Result types\n\n`getGPUTier()` returns a `type` field indicating how the result was produced:\n\n| `type` | Meaning |\n| ------------------------ | ----------------------------------------------------------------------------------- |\n| `BENCHMARK` | Matched a benchmark entry; `fps` reflects the measured framerate for that GPU. |\n| `FALLBACK` | Renderer recognised but no benchmark match found. `tier` is a conservative default. |\n| `BENCHMARK_FETCH_FAILED` | Benchmark fetch failed (CDN outage, strict CSP, offline, etc.). Safe to retry. |\n| `BLOCKLISTED` | Renderer is on a known-bad list (drivers with severe issues). `tier` is always 0. |\n| `WEBGL_UNSUPPORTED` | No WebGL context could be created. `tier` is always 0. |\n| `SSR` | Running server-side — no `window`, detection skipped. |\n\nThe `fps` field is populated only for `BENCHMARK` results. All other `type` values leave `fps` as `undefined`.\n\n## API\n\n```ts\ngetGPUTier({\n /**\n * URL of directory where benchmark data is hosted.\n *\n * @default https://unpkg.com/@pmndrs/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;\n };\n})\n```\n\n## Requirements\n\n- ESM only (CommonJS is not supported)\n\n## Support\n\nAll modern browsers that support WebGL are supported.\n\n## Changelog\n\n[Changelog](CHANGELOG.md)\n\n## License\n\nReleased under the [MIT license](https://raw.githubusercontent.com/pmndrs/detect-gpu/master/LICENSE).\n\n`@pmndrs/detect-gpu` uses both mobile and desktop benchmarking scores from [https://gfxbench.com](https://gfxbench.com).\n","readmeFilename":"README.md"}