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Yolo-v6

Object Detection
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real_time
android
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metadata 
library_name: pytorch
license: other
tags:
  - real_time
  - android
pipeline_tag: object-detection

Yolo-v6: Optimized for Qualcomm Devices

YoloV6 is a machine learning model that predicts bounding boxes and classes of objects in an image.

This is based on the implementation of Yolo-v6 found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.

Getting Started

Due to licensing restrictions, we cannot distribute pre-exported model assets for this model. Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:

  • Custom weights (e.g., fine-tuned checkpoints)
  • Custom input shapes
  • Target device and runtime configurations

See our repository for Yolo-v6 on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.object_detection

Model Stats:

  • Model checkpoint: YoloV6-N
  • Input resolution: 640x640
  • Number of parameters: 4.68M
  • Model size (float): 17.9 MB
  • Model size (w8a8): 4.68 MB
  • Model size (w8a16): 5.03 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
Yolo-v6 ONNX float Snapdragon® X Elite 9.207 ms 14 - 14 MB NPU
Yolo-v6 ONNX float Snapdragon® 8 Gen 3 Mobile 7.253 ms 5 - 155 MB NPU
Yolo-v6 ONNX float Qualcomm® QCS8550 (Proxy) 9.931 ms 0 - 42 MB NPU
Yolo-v6 ONNX float Qualcomm® QCS9075 9.881 ms 5 - 7 MB NPU
Yolo-v6 ONNX float Snapdragon® 8 Elite For Galaxy Mobile 5.326 ms 0 - 122 MB NPU
Yolo-v6 ONNX float Snapdragon® 8 Elite Gen 5 Mobile 4.321 ms 0 - 122 MB NPU
Yolo-v6 QNN_DLC float Snapdragon® X Elite 6.189 ms 5 - 5 MB NPU
Yolo-v6 QNN_DLC float Snapdragon® 8 Gen 3 Mobile 4.398 ms 5 - 187 MB NPU
Yolo-v6 QNN_DLC float Qualcomm® QCS8275 (Proxy) 16.035 ms 1 - 154 MB NPU
Yolo-v6 QNN_DLC float Qualcomm® QCS8550 (Proxy) 6.009 ms 5 - 9 MB NPU
Yolo-v6 QNN_DLC float Qualcomm® SA8775P 7.582 ms 0 - 158 MB NPU
Yolo-v6 QNN_DLC float Qualcomm® QCS9075 7.695 ms 5 - 11 MB NPU
Yolo-v6 QNN_DLC float Qualcomm® QCS8450 (Proxy) 8.966 ms 5 - 185 MB NPU
Yolo-v6 QNN_DLC float Qualcomm® SA7255P 16.035 ms 1 - 154 MB NPU
Yolo-v6 QNN_DLC float Qualcomm® SA8295P 9.042 ms 0 - 152 MB NPU
Yolo-v6 QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 3.334 ms 0 - 155 MB NPU
Yolo-v6 QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 3.002 ms 5 - 161 MB NPU
Yolo-v6 QNN_DLC w8a16 Snapdragon® X Elite 2.547 ms 2 - 2 MB NPU
Yolo-v6 QNN_DLC w8a16 Snapdragon® 8 Gen 3 Mobile 1.514 ms 2 - 61 MB NPU
Yolo-v6 QNN_DLC w8a16 Qualcomm® QCS6490 6.678 ms 2 - 6 MB NPU
Yolo-v6 QNN_DLC w8a16 Qualcomm® QCS8275 (Proxy) 5.356 ms 0 - 41 MB NPU
Yolo-v6 QNN_DLC w8a16 Qualcomm® QCS8550 (Proxy) 2.247 ms 2 - 4 MB NPU
Yolo-v6 QNN_DLC w8a16 Qualcomm® SA8775P 11.103 ms 0 - 39 MB NPU
Yolo-v6 QNN_DLC w8a16 Qualcomm® QCS9075 2.545 ms 2 - 6 MB NPU
Yolo-v6 QNN_DLC w8a16 Qualcomm® QCM6690 18.582 ms 2 - 153 MB NPU
Yolo-v6 QNN_DLC w8a16 Qualcomm® QCS8450 (Proxy) 2.806 ms 2 - 58 MB NPU
Yolo-v6 QNN_DLC w8a16 Qualcomm® SA7255P 5.356 ms 0 - 41 MB NPU
Yolo-v6 QNN_DLC w8a16 Qualcomm® SA8295P 3.493 ms 0 - 38 MB NPU
Yolo-v6 QNN_DLC w8a16 Snapdragon® 8 Elite For Galaxy Mobile 1.138 ms 2 - 43 MB NPU
Yolo-v6 QNN_DLC w8a16 Snapdragon® 7 Gen 4 Mobile 2.73 ms 2 - 153 MB NPU
Yolo-v6 QNN_DLC w8a16 Snapdragon® 8 Elite Gen 5 Mobile 0.944 ms 2 - 42 MB NPU
Yolo-v6 TFLITE float Snapdragon® 8 Gen 3 Mobile 11.892 ms 0 - 70 MB GPU
Yolo-v6 TFLITE float Qualcomm® QCS8275 (Proxy) 59.006 ms 0 - 52 MB GPU
Yolo-v6 TFLITE float Qualcomm® QCS8550 (Proxy) 15.686 ms 0 - 38 MB GPU
Yolo-v6 TFLITE float Qualcomm® SA8775P 26.538 ms 0 - 56 MB GPU
Yolo-v6 TFLITE float Qualcomm® QCS9075 7.869 ms 0 - 18 MB NPU
Yolo-v6 TFLITE float Qualcomm® QCS8450 (Proxy) 23.049 ms 0 - 78 MB GPU
Yolo-v6 TFLITE float Qualcomm® SA7255P 59.006 ms 0 - 52 MB GPU
Yolo-v6 TFLITE float Qualcomm® SA8295P 20.129 ms 0 - 57 MB GPU
Yolo-v6 TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 3.807 ms 0 - 163 MB NPU
Yolo-v6 TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 3.381 ms 0 - 166 MB NPU

License

  • The license for the original implementation of Yolo-v6 can be found here.

References

Community