DDRNet23-Slim: Optimized for Qualcomm Devices
DDRNet23Slim is a machine learning model that segments an image into semantic classes, specifically designed for road-based scenes. It is designed for the application of self-driving cars.
This is based on the implementation of DDRNet23-Slim 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
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| QNN_DLC | float | Universal | QAIRT 2.45 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | Download |
| TFLITE | float | Universal | QAIRT 2.45 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.45 | Download |
For more device-specific assets and performance metrics, visit DDRNet23-Slim on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
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
This option is ideal if you need to customize the model beyond the default configuration provided here.
See our repository for DDRNet23-Slim on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- Model checkpoint: DDRNet23s_imagenet.pth
- Inference latency: RealTime
- Input resolution: 2048x1024
- Number of output classes: 19
- Number of parameters: 6.13M
- Model size (float): 21.7 MB
- Model size (w8a8): 6.11 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| DDRNet23-Slim | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 10.464 ms | 21 - 246 MB | NPU |
| DDRNet23-Slim | ONNX | float | Snapdragon® 8 Elite Mobile | 13.695 ms | 8 - 206 MB | NPU |
| DDRNet23-Slim | ONNX | float | Snapdragon® X2 Elite | 10.933 ms | 22 - 22 MB | NPU |
| DDRNet23-Slim | ONNX | float | Snapdragon® X Elite | 28.016 ms | 24 - 24 MB | NPU |
| DDRNet23-Slim | ONNX | float | Snapdragon® X Elite | 28.016 ms | 24 - 24 MB | NPU |
| DDRNet23-Slim | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 19.505 ms | 1 - 276 MB | NPU |
| DDRNet23-Slim | ONNX | float | Qualcomm® QCS8550 (Proxy) | 28.367 ms | 24 - 26 MB | NPU |
| DDRNet23-Slim | ONNX | float | Qualcomm® QCS9075 | 39.215 ms | 24 - 51 MB | NPU |
| DDRNet23-Slim | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 13.695 ms | 8 - 206 MB | NPU |
| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 44.292 ms | 80 - 272 MB | NPU |
| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 42.241 ms | 86 - 280 MB | NPU |
| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® X2 Elite | 44.642 ms | 109 - 109 MB | NPU |
| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® X Elite | 86.846 ms | 109 - 109 MB | NPU |
| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® X Elite | 86.846 ms | 109 - 109 MB | NPU |
| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 44.48 ms | 92 - 335 MB | NPU |
| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® QCS6490 | 299.252 ms | 198 - 216 MB | CPU |
| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 57.063 ms | 86 - 316 MB | NPU |
| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® QCS9075 | 65.594 ms | 87 - 89 MB | NPU |
| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® QCM6690 | 266.948 ms | 134 - 144 MB | CPU |
| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 42.241 ms | 86 - 280 MB | NPU |
| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 251.609 ms | 138 - 148 MB | CPU |
| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 251.609 ms | 138 - 148 MB | CPU |
| DDRNet23-Slim | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 10.429 ms | 9 - 245 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 15.51 ms | 10 - 232 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Snapdragon® X2 Elite | 11.803 ms | 24 - 24 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Snapdragon® X Elite | 33.794 ms | 24 - 24 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Snapdragon® X Elite | 33.794 ms | 24 - 24 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 22.187 ms | 24 - 297 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 98.443 ms | 24 - 220 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 32.816 ms | 24 - 26 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Qualcomm® SA8775P | 40.454 ms | 24 - 221 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Qualcomm® SA8775P | 40.454 ms | 24 - 221 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Qualcomm® SA8775P | 40.454 ms | 24 - 221 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Qualcomm® QCS9075 | 54.009 ms | 24 - 52 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 67.413 ms | 5 - 282 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Qualcomm® SA7255P | 98.443 ms | 24 - 220 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Qualcomm® SA8295P | 43.542 ms | 24 - 230 MB | NPU |
| DDRNet23-Slim | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 15.51 ms | 10 - 232 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 42.107 ms | 6 - 236 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 39.967 ms | 6 - 221 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 42.673 ms | 6 - 6 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® X Elite | 57.964 ms | 6 - 6 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® X Elite | 57.964 ms | 6 - 6 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 41.319 ms | 6 - 248 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 134.749 ms | 5 - 13 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 106.876 ms | 6 - 203 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 55.388 ms | 6 - 146 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® SA8775P | 58.592 ms | 6 - 205 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® SA8775P | 58.592 ms | 6 - 205 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® SA8775P | 58.592 ms | 6 - 205 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 58.634 ms | 6 - 14 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 205.932 ms | 6 - 198 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 60.788 ms | 6 - 250 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® SA7255P | 106.876 ms | 6 - 203 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® SA8295P | 63.609 ms | 6 - 206 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 39.967 ms | 6 - 221 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 56.998 ms | 6 - 210 MB | NPU |
| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 56.998 ms | 6 - 210 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 10.358 ms | 2 - 240 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Snapdragon® 8 Elite Mobile | 15.481 ms | 1 - 225 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 22.443 ms | 2 - 285 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 98.253 ms | 2 - 204 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 32.613 ms | 3 - 5 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Qualcomm® SA8775P | 40.443 ms | 2 - 204 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Qualcomm® SA8775P | 40.443 ms | 2 - 204 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Qualcomm® SA8775P | 40.443 ms | 2 - 204 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Qualcomm® QCS9075 | 53.678 ms | 0 - 41 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 66.866 ms | 0 - 283 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Qualcomm® SA7255P | 98.253 ms | 2 - 204 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Qualcomm® SA8295P | 43.494 ms | 2 - 215 MB | NPU |
| DDRNet23-Slim | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 15.481 ms | 1 - 225 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 21.519 ms | 1 - 232 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 68.954 ms | 0 - 215 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 36.848 ms | 1 - 249 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® QCS6490 | 197.097 ms | 9 - 77 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 95.075 ms | 1 - 200 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 48.841 ms | 0 - 26 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® SA8775P | 49.639 ms | 1 - 200 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® SA8775P | 49.639 ms | 1 - 200 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® SA8775P | 49.639 ms | 1 - 200 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® QCS9075 | 51.736 ms | 0 - 15 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® QCM6690 | 216.016 ms | 10 - 228 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 56.707 ms | 0 - 245 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® SA7255P | 95.075 ms | 1 - 200 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Qualcomm® SA8295P | 56.07 ms | 1 - 203 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 68.954 ms | 0 - 215 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 63.721 ms | 9 - 208 MB | NPU |
| DDRNet23-Slim | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 63.721 ms | 9 - 208 MB | NPU |
License
- The license for the original implementation of DDRNet23-Slim can be found here.
References
- Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
- Source Model Implementation
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.
