BENCHMARKS

Performance & Quality

Independent benchmarks measuring Knonik compression quality and dataloader throughput.

// benchmarks

Every Number Here Links
To The Run That Made It.

We benchmarked Knonik against standard tooling on real robotics data. Compression quality verified across three policy architectures. Loader throughput measured end-to-end against lance and LeRobot, on a harness you can run yourself.

CompressionView details →

Training Quality Benchmark

Does Knonik compression preserve learning signal?

Domain gap: < 0.004 MAE
Models tested: 3
Best MAE ratio: 0.774×

Diffusion Policy, ACT, and Flow Matching Policy trained on compressed vs uncompressed data. Full learning curves, domain transfer analysis, and per-model breakdowns.

ThroughputView details →

Loader Throughput

How fast do decoded frames reach the GPU?

Throughput vs lance: up to 1.56× faster
Throughput vs lerobot: up to 12.3× faster
Storage vs lance: up to 18.6× smaller

knonik vs lance vs LeRobot on three robot datasets from 180×320 to 720p, each driven through its own public API. Frames/s and samples/s, the latency split, host memory, on-disk footprint, and a public repo to reproduce every number.