Author

Miguel Gomez Fernandez

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Preprint Jul 2026

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.

Miguel Gomez Fernandez, David Castro Boga, Roi Méndez-Rial et al. · 0 citations