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description: >-
  Explore YOLO model benchmarking for speed and accuracy with formats like
  PyTorch, ONNX, TensorRT, and more. Detailed profiling & usage guides.
keywords: >-
  YOLO, model benchmarking, ONNX, TensorRT, PyTorch, TensorFlow, CoreML,
  profiling, Ultralytics, model performance

Reference for ultralytics/utils/benchmarks.py

!!! note

This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/benchmarks.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/benchmarks.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/benchmarks.py) 🛠️. Thank you 🙏!

::: ultralytics.utils.benchmarks.RF100Benchmark




::: ultralytics.utils.benchmarks.ProfileModels




::: ultralytics.utils.benchmarks.benchmark