HomeJS Performance Benchmark

JS Performance Benchmark

Online JS benchmark tool for function timing, algorithm comparison, memory usage, rendering cost, and async concurrency evaluation.

Benchmark Controls

Benchmark Config

Benchmark Code

Ready to run benchmark tests.

Performance Metrics

0ms

Average Time

0

Ops / Sec

0ms

Fastest Time

0ms

Slowest Time

Detailed Results

Run a benchmark to see detailed results here.

Execution Time Distribution

Total Time-
Standard Deviation-
Median-

Algorithm Comparison

Algorithm 1

Average Time: -

Fastest Time: -

Algorithm 2

Average Time: -

Fastest Time: -

Performance Conclusion

-

Memory Usage Trend

Initial Memory-
Peak Memory-
Memory Growth-
After GC-
First Render-
Reflow Cost-
Relayout Cost-
DOM Node Count-

Rendering Suggestion

-

Total Response Time-
Average Response Time-
Concurrent Requests-
Success Rate-

Optimization Suggestions

Benchmark History



Documentation

About JavaScript Performance Benchmark

This tool benchmarks JavaScript in-browser across function timing, algorithm comparison, memory trend, rendering, and async scenarios.

Key Features

  • Multiple Test Modes: Function, algorithm, memory, rendering, async.
  • Configurable Params: Iterations, warmup, and data size.
  • Metric Summary: Avg/min/max time and throughput indicators.
  • Charts: Distribution, comparison, and memory trend visuals.
  • Export + Suggestions: Clear/export results and review hints.

Steps

  1. Select test mode and preset.
  2. Configure iterations/warmup/data size.
  3. Paste benchmark code and run.
  4. Inspect metrics, charts, and suggestions.

Use Cases

  • Comparing algorithm implementations.
  • Measuring performance before/after refactor.
  • Detecting rendering or async bottlenecks.

FAQ

Why do results vary between runs?

Browser scheduling, JIT warm-up, and system load all affect timing. Run multiple times and compare median trends.

Can browser benchmark replace production load testing?

Not fully. It is great for quick comparison, while production conclusions need real-environment validation.