BENCHMARKS

Performance & Quality

Independent benchmarks measuring Knonik compression quality and dataloader throughput.

// benchmarks

Don't Take Our Word For It.
See The Numbers.

We benchmarked Knonik against standard tooling on real robotics data. Compression quality verified across three policy architectures. DataLoader performance measured end-to-end.

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.

DataLoaderView details →

DataLoader Performance

How fast can Knonik serve training batches?

GPU util: 98.5%

6 loader configs benchmarked on 49 robot episodes. Knonik Pipelined vs PyTorch, HuggingFace Arrow, and more. Full latency distributions and epoch scaling.