library_name: pytorch
license: other
tags:
- bu_auto
- real_time
- android
pipeline_tag: object-detection
Yolo-v3: Optimized for Qualcomm Devices
YoloV3 is a machine learning model that predicts bounding boxes and classes of objects in an image.
This is based on the implementation of Yolo-v3 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-v3 on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.object_detection
Model Stats:
- Model checkpoint: YoloV3 Tiny
- Input resolution: 416p (416x416)
- Number of parameters: 11.5M
- Model size (float): 43.9 MB
- Model size (w8a16): 16.9 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| Yolo-v3 | ONNX | float | Snapdragon® X Elite | 4.281 ms | 19 - 19 MB | NPU |
| Yolo-v3 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.31 ms | 50 - 167 MB | NPU |
| Yolo-v3 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 4.258 ms | 0 - 171 MB | NPU |
| Yolo-v3 | ONNX | float | Qualcomm® QCS9075 | 6.603 ms | 5 - 7 MB | NPU |
| Yolo-v3 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.805 ms | 1 - 99 MB | NPU |
| Yolo-v3 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.02 ms | 0 - 101 MB | NPU |
| Yolo-v3 | ONNX | w8a16 | Snapdragon® X Elite | 3.987 ms | 10 - 10 MB | NPU |
| Yolo-v3 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.679 ms | 0 - 151 MB | NPU |
| Yolo-v3 | ONNX | w8a16 | Qualcomm® QCS6490 | 528.456 ms | 210 - 216 MB | CPU |
| Yolo-v3 | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 3.964 ms | 0 - 18 MB | NPU |
| Yolo-v3 | ONNX | w8a16 | Qualcomm® QCS9075 | 4.235 ms | 2 - 5 MB | NPU |
| Yolo-v3 | ONNX | w8a16 | Qualcomm® QCM6690 | 246.489 ms | 218 - 225 MB | CPU |
| Yolo-v3 | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 2.074 ms | 0 - 119 MB | NPU |
| Yolo-v3 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 214.463 ms | 215 - 222 MB | CPU |
| Yolo-v3 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.567 ms | 0 - 119 MB | NPU |
| Yolo-v3 | QNN_DLC | float | Snapdragon® X Elite | 3.695 ms | 5 - 5 MB | NPU |
| Yolo-v3 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.785 ms | 0 - 159 MB | NPU |
| Yolo-v3 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 20.116 ms | 1 - 146 MB | NPU |
| Yolo-v3 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 3.385 ms | 5 - 111 MB | NPU |
| Yolo-v3 | QNN_DLC | float | Qualcomm® QCS9075 | 5.756 ms | 7 - 13 MB | NPU |
| Yolo-v3 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 10.075 ms | 4 - 173 MB | NPU |
| Yolo-v3 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.122 ms | 0 - 146 MB | NPU |
| Yolo-v3 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.653 ms | 5 - 153 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Snapdragon® X Elite | 4.028 ms | 2 - 2 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.557 ms | 2 - 77 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 11.727 ms | 4 - 8 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 9.181 ms | 1 - 46 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 3.673 ms | 2 - 112 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 3.926 ms | 3 - 7 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 35.002 ms | 2 - 174 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 4.355 ms | 2 - 78 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 1.897 ms | 0 - 46 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 4.73 ms | 2 - 175 MB | NPU |
| Yolo-v3 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.366 ms | 2 - 53 MB | NPU |
| Yolo-v3 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.719 ms | 0 - 189 MB | NPU |
| Yolo-v3 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 19.991 ms | 0 - 149 MB | NPU |
| Yolo-v3 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 3.21 ms | 0 - 2 MB | NPU |
| Yolo-v3 | TFLITE | float | Qualcomm® QCS9075 | 5.637 ms | 0 - 30 MB | NPU |
| Yolo-v3 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 9.944 ms | 0 - 194 MB | NPU |
| Yolo-v3 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.102 ms | 0 - 144 MB | NPU |
| Yolo-v3 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.591 ms | 0 - 151 MB | NPU |
License
- The license for the original implementation of Yolo-v3 can be found here.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
