Benchmarks / guide
How to compare an optical-AI benchmark
A benchmark comparison needs compatible tasks, precision, accuracy targets, baselines, and energy boundaries.
Reporting, context, and practical explanations from Optical AI Stack.
A benchmark comparison needs compatible tasks, precision, accuracy targets, baselines, and energy boundaries.
An efficiency figure needs a workload, precision, and system boundary before it can describe real computing impact.
Moving data with light and performing a computation with light are related architectures, not interchangeable claims.