79 lines
2.6 KiB
Markdown
79 lines
2.6 KiB
Markdown
# Benchmarks of popular jpeg libraries
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Here I compare how long it takes popular JPEG decoders to decode the below 7680*4320 image
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of (now defunct ?) [Cutefish OS](https://en.cutefishos.com/) default wallpaper.
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## About benchmarks
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Benchmarks are weird, especially IO & multi-threaded programs. This library uses both of the above hence performance may
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vary.
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For best results shut down your machine, go take coffee, think about life and how it came to be and why people should
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save the environment.
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Then power up your machine, if it's a laptop connect it to a power supply and if there is a setting for performance
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mode, tweak it.
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Then run.
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## Benchmarks vs real world usage
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Real world usage may vary.
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Notice that I'm using a large image but probably most decoding will be small to medium images.
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To make the library thread safe, we do about 1.5-1.7x more allocations than libjpeg-turbo. Although, do note that the
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allocations do not occur at ago, we allocate when needed and deallocate when not needed.
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Do note if memory bandwidth is a limitation. This is not for you.
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## Reproducibility
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The benchmarks are carried out on my local machine with an AMD Ryzen 5 4500u
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The benchmarks are reproducible.
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To reproduce them
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1. Clone this repository
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2. Install rust(if you don't have it yet)
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3. `cd` into the directory.
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4. Run `cargo bench`
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## Performance features of the three libraries
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| feature | image-rs/jpeg-decoder | libjpeg-turbo | zune-jpeg |
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|------------------------------|-----------------------|---------------|-----------|
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| multithreaded | ✅ | ❌ | ❌ |
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| platform specific intrinsics | ✅ | ✅ | ✅ |
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- Image-rs/jpeg-decoder uses [rayon] under the hood but it's under a feature
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flag.
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- libjpeg-turbo uses hand-written asm for platform specific intrinsics, ported to
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the most common architectures out there but falls back to scalar
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code if it can't run in a platform.
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# Finally benchmarks
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[here]
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## Notes
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Benchmarks are ran at least once a week to catch regressions early and
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are uploaded to Github pages.
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Machine specs can be found on the other [landing page]
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Benchmarks may not reflect real world usage(threads, other I/O machine bottlenecks)
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[landing page]:https://etemesi254.github.io/posts/Zune-Benchmarks/
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[here]:https://etemesi254.github.io/assets/criterion/report/index.html
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[libjpeg-turbo]:https://github.com/libjpeg-turbo/libjpeg-turbo
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[jpeg-decoder]:https://github.com/image-rs/jpeg-decoder
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[rayon]:https://github.com/rayon-rs/rayon |