Detect GPU
![devDependencies](https://david-dm.org/timvanscherpenzeel/detect-gpu/dev-status.svg)
Classify GPU's based on their benchmark score in order to provide an adaptive experience.
Demo
Live demo
Installation
Make sure you have Node.js installed.
$ npm install detect-gpu
Usage
detect-gpu
uses benchmarking scores in order to determine what tier should be assigned to the user's GPU. If no WebGLContext
can be created or the GPU is blacklisted TIER 0
is assigned. One should provide a HTML fallback page that a user should be redirected to.
By default are all GPU's that have met these preconditions classified as TIER 1
.
In order to keep up to date with new GPU's coming out detect-gpu
splits the benchmarking scores in 4 tiers
based on rough estimates of the market share.
By default detect-gpu
assumes 15%
of the lowest scores to be insufficient to run the experience and is assigned TIER 0
. 35%
of the GPU's are considered good enough to run the experience and are assigned TIER 1
. 30%
of the GPU's are considered powerful and are classified as TIER 2
. The last 20%
of the GPU's are considered to be very powerful and can run the experience with all bells and whistles.
You can tweak these percentages when registering the application as shown below:
DetectGPU.register({
BENCHMARK_TIER_PERCENTAGES_MOBILE: [15, 35, 30, 20],
BENCHMARK_TIER_PERCENTAGES_DESKTOP: [15, 35, 30, 20]
});
Development
$ npm start
$ npm run serve
$ npm run lint
$ npm run dist
$ npm run deploy
$ npm run update-benchmarks
Licence
My work is released under the MIT license.
detect-gpu
uses both mobile and desktop benchmarking scores from https://www.notebookcheck.net/.