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Yolo-R

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

Yolo-R: Optimized for Qualcomm Devices

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

This is based on the implementation of Yolo-R 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-R on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.object_detection

Model Stats:

  • Model checkpoint: yolor_p6
  • Input resolution: 640x640
  • Number of parameters: 4.68M
  • Model size (float): 17.9 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
Yolo-R ONNX float Snapdragon® 8 Elite Gen 5 Mobile 24.445 ms 6 - 316 MB NPU
Yolo-R ONNX float Snapdragon® 8 Elite Mobile 25.096 ms 2 - 232 MB NPU
Yolo-R ONNX float Snapdragon® X2 Elite 24.767 ms 75 - 75 MB NPU
Yolo-R ONNX float Snapdragon® X Elite 38.214 ms 74 - 74 MB NPU
Yolo-R ONNX float Snapdragon® X Elite 38.214 ms 74 - 74 MB NPU
Yolo-R ONNX float Snapdragon® 8 Gen 3 Mobile 28.964 ms 0 - 341 MB NPU
Yolo-R ONNX float Qualcomm® QCS8550 (Proxy) 38.039 ms 0 - 78 MB NPU
Yolo-R ONNX float Snapdragon® 8 Elite For Galaxy Mobile 25.096 ms 2 - 232 MB NPU
Yolo-R ONNX float Qualcomm® QCS9075 52.16 ms 5 - 12 MB NPU
Yolo-R ONNX w8a16 Snapdragon® 8 Elite Gen 5 Mobile 18.066 ms 3 - 452 MB NPU
Yolo-R ONNX w8a16 Snapdragon® 8 Elite Mobile 17.404 ms 1 - 366 MB NPU
Yolo-R ONNX w8a16 Snapdragon® X2 Elite 18.504 ms 41 - 41 MB NPU
Yolo-R ONNX w8a16 Snapdragon® X Elite 30.398 ms 40 - 40 MB NPU
Yolo-R ONNX w8a16 Snapdragon® X Elite 30.398 ms 40 - 40 MB NPU
Yolo-R ONNX w8a16 Snapdragon® 8 Gen 3 Mobile 20.837 ms 0 - 492 MB NPU
Yolo-R ONNX w8a16 Qualcomm® QCS6490 2272.484 ms 129 - 135 MB CPU
Yolo-R ONNX w8a16 Qualcomm® QCS8550 (Proxy) 29.064 ms 0 - 49 MB NPU
Yolo-R ONNX w8a16 Snapdragon® 8 Elite For Galaxy Mobile 17.404 ms 1 - 366 MB NPU
Yolo-R ONNX w8a16 Snapdragon® 7 Gen 4 Mobile 1120.199 ms 136 - 148 MB CPU
Yolo-R ONNX w8a16 Qualcomm® QCM6690 1177.534 ms 91 - 103 MB CPU
Yolo-R ONNX w8a16 Qualcomm® QCS9075 29.698 ms 1 - 6 MB NPU
Yolo-R ONNX w8a16 Snapdragon® 7 Gen 4 Mobile 1120.199 ms 136 - 148 MB CPU
Yolo-R QNN_DLC w8a16 Snapdragon® 8 Elite Gen 5 Mobile 7.936 ms 2 - 305 MB NPU
Yolo-R QNN_DLC w8a16 Snapdragon® 8 Elite Mobile 10.159 ms 2 - 304 MB NPU
Yolo-R QNN_DLC w8a16 Snapdragon® X2 Elite 8.938 ms 2 - 2 MB NPU
Yolo-R QNN_DLC w8a16 Snapdragon® X Elite 20.784 ms 2 - 2 MB NPU
Yolo-R QNN_DLC w8a16 Snapdragon® X Elite 20.784 ms 2 - 2 MB NPU
Yolo-R QNN_DLC w8a16 Snapdragon® 8 Gen 3 Mobile 13.303 ms 2 - 357 MB NPU
Yolo-R QNN_DLC w8a16 Qualcomm® QCS6490 78.349 ms 3 - 8 MB NPU
Yolo-R QNN_DLC w8a16 Qualcomm® QCS8550 (Proxy) 19.626 ms 2 - 5 MB NPU
Yolo-R QNN_DLC w8a16 Qualcomm® SA8775P 19.948 ms 1 - 291 MB NPU
Yolo-R QNN_DLC w8a16 Qualcomm® SA8775P 19.948 ms 1 - 291 MB NPU
Yolo-R QNN_DLC w8a16 Qualcomm® SA8775P 19.948 ms 1 - 291 MB NPU
Yolo-R QNN_DLC w8a16 Qualcomm® SA7255P 39.784 ms 1 - 291 MB NPU
Yolo-R QNN_DLC w8a16 Snapdragon® 8 Elite For Galaxy Mobile 10.159 ms 2 - 304 MB NPU
Yolo-R QNN_DLC w8a16 Snapdragon® 7 Gen 4 Mobile 26.664 ms 2 - 318 MB NPU
Yolo-R QNN_DLC w8a16 Qualcomm® QCM6690 208.88 ms 2 - 400 MB NPU
Yolo-R QNN_DLC w8a16 Qualcomm® SA8295P 25.619 ms 0 - 293 MB NPU
Yolo-R QNN_DLC w8a16 Qualcomm® QCS9075 20.766 ms 1 - 5 MB NPU
Yolo-R QNN_DLC w8a16 Qualcomm® QCS8450 (Proxy) 28.706 ms 2 - 360 MB NPU
Yolo-R QNN_DLC w8a16 Snapdragon® 7 Gen 4 Mobile 26.664 ms 2 - 318 MB NPU

License

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

References

Community