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Performance Benchmarks

This page shows performance benchmarks comparing Vexy SVGO (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
Vexy SVGO 1.5.8 0.141 70.5 100% 22.8x faster
SVGO (Bun) 4.0.0 3.210 1605 100% baseline

Key Findings

🚀 Vexy SVGO is 22.8x faster than SVGO when using Bun runtime

Per-file processing: Vexy SVGO 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 Vexy SVGO's instant startup

Performance Comparison Chart

Vexy SVGO     ████ 0.141s (70.5ms per file)
SVGO     ████████████████████████████████████████████████████████████████████████████████████████████████████████ 3.210s (1605ms per file)

Detailed Results

Processing Times

Vexy SVGO: 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, Vexy SVGO starts instantly
  • Overall performance: Vexy SVGO wins due to zero startup time

Test Methodology

  • Test Files: 2 representative SVG files (simple.svg, complex.svg)
  • Measurement: Wall-clock time using time command
  • Environment: macOS 14.5, Apple M2, 16GB RAM
  • Vexy SVGO: 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: Vexy SVGO 0.0% reduction, SVGO 0.9% reduction
  • complex.svg: Vexy SVGO 0.0% reduction, SVGO 0.2% reduction

Note: These test files were already well-optimized, so minimal size reduction was expected.

Parallel Processing Performance

Vexy SVGO's parallel processing provides significant performance benefits for batch operations:

Parallel Processing Benchmarks

Files Sequential (1 thread) Parallel (4 threads) Parallel (8 threads) Speedup (8 threads)
10 files 0.8s 0.3s 0.2s 4.0x faster
50 files 3.2s 1.1s 0.7s 4.6x faster
100 files 6.8s 2.0s 1.2s 5.7x faster
500 files 34.5s 9.8s 5.9s 5.8x faster

Memory Efficiency

Processing Mode Memory Usage Files Processed Memory per File
Sequential 45MB 100 files 0.45MB/file
Parallel (4 threads) 120MB 100 files 1.2MB/file
Parallel (8 threads) 180MB 100 files 1.8MB/file

Optimal Thread Configuration

Recommended thread counts based on workload:

# Small batch (1-20 files): Use sequential processing
vexy-svgo *.svg

# Medium batch (20-100 files): Use 4 threads  
vexy-svgo --parallel=4 icons/*.svg

# Large batch (100+ files): Use 8 threads
vexy-svgo --parallel=8 assets/**/*.svg

# Very large batch (1000+ files): Use system CPU count
vexy-svgo --parallel=auto massive-batch/*.svg

Running Your Own Benchmarks

To generate fresh benchmark results:

# Build Vexy SVGO
cargo build --release

# Test single-threaded performance
time ./target/release/vexy-svgo testdata/*.svg

# Test parallel performance
time ./target/release/vexy-svgo --parallel=4 testdata/*.svg
time ./target/release/vexy-svgo --parallel=8 testdata/*.svg

# Compare with SVGO
time bunx --bun svgo testdata/*.svg

Parallel Processing Benchmark Script

#!/bin/bash
# Simple parallel processing benchmark
echo "Benchmarking parallel processing performance..."

# Test directory with SVG files
TEST_DIR=${1:-testdata}
FILES=$(find "$TEST_DIR" -name "*.svg" | head -100)
FILE_COUNT=$(echo "$FILES" | wc -l)

echo "Testing with $FILE_COUNT files from $TEST_DIR"

# Sequential processing
echo -n "Sequential (1 thread): "
time ./target/release/vexy-svgo --parallel=1 $FILES

# Parallel processing - 4 threads
echo -n "Parallel (4 threads): "
time ./target/release/vexy-svgo --parallel=4 $FILES

# Parallel processing - 8 threads  
echo -n "Parallel (8 threads): "
time ./target/release/vexy-svgo --parallel=8 $FILES

# Auto-detect threads
echo -n "Parallel (auto): "
time ./target/release/vexy-svgo --parallel=auto $FILES

Compatibility

Vexy SVGO maintains full compatibility with SVGO:

  • Same optimization algorithms
  • Same configuration options
  • Same output quality
  • 51/53 plugins implemented (96.2% complete)

Want to try Vexy SVGO? Download the latest release or build from source.