The Transcoding GPU Benchmark is a Docker-based tool that evaluates how many simultaneous 4K HEVC to 1080p H.264 video streams a server can process. The benchmark provides a standardized method for users to test their hardware, including integrated Intel graphics and discrete NVIDIA GPUs, to determine their media server's transcoding capacity. By running a series of test clips, the tool calculates a performance score and provides insights into power efficiency and potential hardware bottlenecks, such as memory speed. The benchmark is designed to be run on any system that supports Docker, with specific instructions provided for Unraid users. It also features a community-driven leaderboard, allowing users to compare their results with others running similar hardware configurations. This tool helps users understand the real-world performance of their media servers, enabling them to make informed decisions about hardware upgrades and optimizations for tasks like real-time transcoding or pre-encoding media libraries.
The Transcoding GPU Benchmark tool evaluates the maximum number of simultaneous 4K HEVC to 1080p H.264 video streams a server can handle. The tool is containerized as a Docker image, making it compatible with various operating systems, including Unraid.
Users can test both hardware-accelerated transcoding and CPU-based transcoding to compare performance and power efficiency. The benchmark identifies potential hardware bottlenecks, such as slow system memory, which can limit transcoding performance.
A community-driven leaderboard allows users to compare their server's performance against others with similar hardware. The benchmark provides an estimate of power consumption during transcoding, highlighting the efficiency of different hardware configurations.
Chapter guide
Worth noting
- The benchmark results represent a synthetic stress test and may differ from real-world performance due to buffering and varying media file characteristics.
- The tool's power consumption metrics are estimates and may not reflect precise hardware measurements.