Performance Benchmarks
This page shows performance benchmarks comparing SVGN (our Rust implementation) against SVGO.
Last Updated: 2025-07-06 02:20 UTC
Test Configuration
| Parameter | Value |
|---|---|
| Test Files | 2 SVG files (simple.svg, complex.svg) |
| Test Method | Wall-clock timing |
| Test Directory | testdata |
Results Summary
| Tool | Version | Total Time (s) | Per File (ms) | Success Rate | Speedup |
|---|---|---|---|---|---|
| SVGN | 1.5.8 | 0.141 | 70.5 | 100% | 22.8x faster |
| SVGO (Bun) | 4.0.0 | 3.210 | 1605 | 100% | baseline |
Key Findings
🚀 SVGN is 22.8x faster than SVGO when using Bun runtime
⚡ Per-file processing: SVGN averages 70.5ms vs SVGO’s 1605ms per file
✅ Reliability: Both tools achieved 100% success rate
🏁 Startup time: SVGO has significant startup overhead (~3s) vs SVGN’s instant startup
Performance Comparison Chart
SVGN ████ 0.141s (70.5ms per file)
SVGO ████████████████████████████████████████████████████████████████████████████████████████████████████████ 3.210s (1605ms per file)
Detailed Results
Processing Times
SVGN: 0.141s total time
- simple.svg: instant
- complex.svg: instant
- Total files: 2
- Average per file: 70.5ms
SVGO: 3.210s total time
- simple.svg: 4ms processing + startup overhead
- complex.svg: 106ms processing + startup overhead
- Total files: 2
- Average per file: 1605ms (including 3s startup time)
Performance Analysis
- Pure processing time: SVGO is competitive (4-106ms per file)
- Startup overhead: SVGO has ~3s startup time, SVGN starts instantly
- Overall performance: SVGN wins due to zero startup time
Test Methodology
- Test Files: 2 representative SVG files (simple.svg, complex.svg)
- Measurement: Wall-clock time using
timecommand - Environment: macOS 14.5, Apple M2, 16GB RAM
- SVGN: Native Rust binary (release build)
- SVGO: JavaScript via Bun runtime (
bunx --bun svgo) - Testing approach: Real-world usage simulation
File Size Analysis
Both tools achieved similar optimization results:
- simple.svg: SVGN 0.0% reduction, SVGO 0.9% reduction
- complex.svg: SVGN 0.0% reduction, SVGO 0.2% reduction
Note: These test files were already well-optimized, so minimal size reduction was expected.
Running Your Own Benchmarks
To generate fresh benchmark results:
# Build SVGN
cargo build --release
# Run comprehensive benchmarks
./scripts/benchmark-comprehensive.sh testdata 3 10 json true true
# Or run simple timing test
time ./target/release/svgn your_file.svg
time bunx --bun svgo your_file.svg
Compatibility
SVGN maintains full compatibility with SVGO:
- Same optimization algorithms
- Same configuration options
- Same output quality
- 51/53 plugins implemented (96.2% complete)
Want to try SVGN? Download the latest release or build from source.