> For the complete documentation index, see [llms.txt](https://wamr.gitbook.io/document/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wamr.gitbook.io/document/wamr-in-practice/advance-tutorial/performance-benchmark.md).

# Performance Test

Like word on the street said(no way it's just us saying!) or you may saw in previous chapters(maybe multiple times), WAMR is a **lightweight** standalone WebAssembly (WASM) runtime with **small footprint**, **high performance** and highly configurable features.

Well, you don't have to take our word for it. You could run the [Benchmarks in our repo](https://github.com/bytecodealliance/wasm-micro-runtime/tree/main/tests/benchmarks) and decide whether the performance is good enough.

We provide multiple benchmarks that you could try:

* [PolyBench](/document/wamr-in-practice/advance-tutorial/performance-benchmark/polybench.md)
* [CoreMark](/document/wamr-in-practice/advance-tutorial/performance-benchmark/coremark.md)
* [Sightglass](/document/wamr-in-practice/advance-tutorial/performance-benchmark/sightglass.md)
* [JetStream2](/document/wamr-in-practice/advance-tutorial/performance-benchmark/jetstream.md)

For the memory footprint, you can refer to the links below.

* [Performance and footprint data](https://github.com/bytecodealliance/wasm-micro-runtime/wiki/Performance): checkout [here](https://github.com/bytecodealliance/wasm-micro-runtime/wiki/Performance) for the performance and footprint data

And in the next section, we provide tutorials on memory usage tuning. You can [profile memory usage](/document/wamr-in-practice/tutorial/build-tutorial/build_wamr.md#enable-memory-profiling-experiment) and [tunning memory usage](/document/wamr-in-practice/advance-tutorial/memory_tune.md)