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YOLOv5 benchmarking
Aditya Lohia edited this page Jun 9, 2022
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Based on 5000 inference iterations after 50 iterations of warmups. Includes Image Preprocessing (letterboxing etc.), Model Inference and Output Postprocessing (NMS, Scale-Coords, etc.) time.
Backend | FPS |
---|---|
TensorRT | 157-165 |
Torch | 150-155 |
ONNX | 92-96 |
TensorFlow | 43-47 |
Based on 5000 inference iterations after 50 iterations of warmups. Includes Image Preprocessing (letterboxing etc.), Model Inference and Output Postprocessing (NMS, Scale-Coords, etc.) time.
Backend | FPS |
---|---|
TensorRT | 82-86 |
Torch | 65-69 |
ONNX | 62-66 |
TensorFlow | 39-42 |
Note: We are performing more benchmarks, we will update info later on.
Based on 500 inference iterations after 10 iterations of warmups. Includes Image Preprocessing (letterboxing etc.), Model Inference and Output Postprocessing (NMS, Scale-Coords, etc.) time.
Backend | FPS |
---|---|
ONNX | 5.4-7.6 |
TFLite | 4.0-5.1 |
TensorFlow | 3.5-4.2 |
Torch | 3.2-4.0 |