A high-performance benchmarking framework for evaluating video processing pipelines, codecs, and multimedia libraries. The suite measures latency, throughput, CPU utilization, memory consumption, and scalability across various video processing operations to help identify performance bottlenecks and optimize multimedia workloads.
Designed for performance engineers, multimedia developers, computer vision engineers, backend engineers, and AI infrastructure developers.
- Benchmark video decoding performance
- Benchmark video encoding performance
- Frame extraction benchmarking
- Video resizing and scaling benchmarks
- Color space conversion benchmarking
- Video transcoding benchmarks
- Batch video processing benchmarks
- Multi-threaded benchmarking
- CPU and memory profiling
- JSON, CSV, and HTML report generation
- Video Loading
- Video Decoding
- Video Encoding
- Video Transcoding
- Frame Extraction
- Video Resize
- Resolution Scaling
- Frame Rate Conversion
- Color Space Conversion
- Video Cropping
- Video Rotation
- Video Compression
- Metadata Extraction
- Thumbnail Generation
The framework measures:
- Frames Per Second (FPS)
- Throughput
- Average Latency
- P95 Latency
- P99 Latency
- Encoding Speed
- Decoding Speed
- CPU Usage
- Memory Usage
- Peak Memory Consumption
- Multi-thread Scaling Efficiency
- Single Video Processing
- Batch Video Processing
- Large Video Benchmark
- 4K Video Benchmark
- 8K Video Benchmark
- High Frame Rate Video
- Multi-threaded Processing
- Codec Comparison
- Library Comparison
- Long Duration Stress Testing
Examples include:
- FFmpeg
- GStreamer
- OpenCV
Additional multimedia libraries and custom processing pipelines can be integrated for benchmarking.
Benchmark: H.264 Video Decode
Input Video: 4K (3840×2160)
Duration: 60 seconds
Average FPS: 312
Throughput: 1.42 GB/s
Average Latency: 3.18 ms
CPU Usage: 61%
Memory Usage: 482 MB
Peak Memory: 558 MB
Video-Processing-Benchmark-Suite/
├── cmd/
├── internal/
│ ├── benchmark/
│ ├── codecs/
│ ├── pipeline/
│ ├── metrics/
│ ├── reports/
│ └── utils/
├── datasets/
├── configs/
├── examples/
├── reports/
├── docs/
├── scripts/
└── tests/
- Core benchmarking framework
- Video decode and encode benchmarks
- Performance metrics collection
- Codec comparison
- Batch video processing
- Multi-threaded benchmarking
- Report generation
- Interactive performance dashboard
- Hardware acceleration benchmarking
- Performance regression analysis
- GPU video benchmarking
- Distributed benchmarking
- Live video stream benchmarking
- Continuous performance testing in CI/CD
- Go
- FFmpeg
- GStreamer
- OpenCV
- Performance Profiling
- Benchmarking
- JSON
- CSV
- Performance Engineers
- Multimedia Engineers
- Computer Vision Engineers
- Backend Engineers
- AI Infrastructure Engineers
- Systems Engineers
- Open Source Contributors
- NVIDIA NVENC/NVDEC benchmarking
- Intel Quick Sync benchmarking
- AMD AMF benchmarking
- CUDA-based video processing benchmarks
- AV1 codec benchmarking
- Real-time streaming benchmarks
- Prometheus metrics
- Grafana dashboards
- CI performance regression testing
Contributions are welcome. Feel free to submit benchmark scenarios, codec integrations, performance optimizations, bug reports, or pull requests.
This project is licensed under the MIT License.