I benchmarked 9 object-detection models on the same GPU — here's what changed Published object-detection benchmarks are useful, but comparing them directly can be difficult. A model's published latency may depend on the GPU, precision, batch size, framework, TensorRT, and other optimizations used during testing. Two models with similar numbers on paper can behave very differently when run under the same conditions. I wanted to see what would happen if I removed some of those variables....