RTMDet: Optimized for Qualcomm Devices
RTMDet is a highly efficient model for real-time object detection,capable of predicting both the bounding boxes and classes of objects within an image.It is highly optimized for real-time applications, making it reliable for industrial and commercial use
This is based on the implementation of RTMDet 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 RTMDet on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.object_detection
Model Stats:
- Model checkpoint: RTMDet Medium
- Input resolution: 640x640
- Number of parameters: 27.5M
- Model size (float): 105 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| RTMDet | ONNX | float | Snapdragon® X2 Elite | 8.112 ms | 5 - 5 MB | NPU |
| RTMDet | ONNX | float | Snapdragon® X Elite | 15.376 ms | 51 - 51 MB | NPU |
| RTMDet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 11.142 ms | 1 - 230 MB | NPU |
| RTMDet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 45.678 ms | 5 - 299 MB | NPU |
| RTMDet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 14.703 ms | 0 - 53 MB | NPU |
| RTMDet | ONNX | float | Qualcomm® QCS8450 | 45.678 ms | 5 - 299 MB | NPU |
| RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 23.323 ms | 5 - 12 MB | NPU |
| RTMDet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.249 ms | 4 - 194 MB | NPU |
| RTMDet | ONNX | float | Snapdragon® 8 Elite Mobile | 9.317 ms | 2 - 186 MB | NPU |
| RTMDet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 9.317 ms | 2 - 186 MB | NPU |
| RTMDet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 15.376 ms | 51 - 51 MB | NPU |
| RTMDet | ONNX | w8a16 | Snapdragon® X2 Elite | 5.763 ms | 2 - 2 MB | NPU |
| RTMDet | ONNX | w8a16 | Snapdragon® X Elite | 14.194 ms | 27 - 27 MB | NPU |
| RTMDet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 8.872 ms | 3 - 358 MB | NPU |
| RTMDet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 19.028 ms | 3 - 357 MB | NPU |
| RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 64.432 ms | 2 - 5 MB | NPU |
| RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 13.505 ms | 0 - 33 MB | NPU |
| RTMDet | ONNX | w8a16 | Qualcomm® QCS8450 | 19.028 ms | 3 - 357 MB | NPU |
| RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 16.965 ms | 2 - 5 MB | NPU |
| RTMDet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 22.37 ms | 3 - 336 MB | NPU |
| RTMDet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 5.108 ms | 2 - 325 MB | NPU |
| RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 148.891 ms | 5 - 325 MB | NPU |
| RTMDet | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 6.171 ms | 0 - 296 MB | NPU |
| RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 22.37 ms | 3 - 336 MB | NPU |
| RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 6.171 ms | 0 - 296 MB | NPU |
| RTMDet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 14.194 ms | 27 - 27 MB | NPU |
| RTMDet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 19.853 ms | 0 - 305 MB | NPU |
| RTMDet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 50.892 ms | 0 - 365 MB | NPU |
| RTMDet | TFLITE | float | Qualcomm® QCS8275 | 280.108 ms | 3 - 33 MB | GPU |
| RTMDet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 28.883 ms | 0 - 2 MB | NPU |
| RTMDet | TFLITE | float | Qualcomm® SA8775P | 36.478 ms | 0 - 226 MB | NPU |
| RTMDet | TFLITE | float | Qualcomm® SA8650P | 36.478 ms | 0 - 226 MB | NPU |
| RTMDet | TFLITE | float | Qualcomm® SA8255P | 36.478 ms | 0 - 226 MB | NPU |
| RTMDet | TFLITE | float | Qualcomm® QCS8450 | 50.892 ms | 0 - 365 MB | NPU |
| RTMDet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 36.879 ms | 0 - 62 MB | NPU |
| RTMDet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 9.885 ms | 0 - 230 MB | NPU |
| RTMDet | TFLITE | float | Snapdragon® 8 Elite Mobile | 14.99 ms | 0 - 228 MB | NPU |
| RTMDet | TFLITE | float | Qualcomm® SA7255P | 280.108 ms | 3 - 33 MB | GPU |
| RTMDet | TFLITE | float | Qualcomm® SA8295P | 46.068 ms | 0 - 283 MB | NPU |
| RTMDet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 14.99 ms | 0 - 228 MB | NPU |
License
- The license for the original implementation of RTMDet 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.
