Benchmarking Edge Inference Strategies for Deep Learning Models in Industrial Machine Vision
A comparative study of four widely used approaches for machine vision inference in industrial settings: plain PyTorch, ONNX Runtime, OpenVINO, OpenVINO, and TensorRT, which shows that OpenVINO achieves the lowest inference time on CPUs, while TensorRT achieves the lowest inference time on GPUs.