DeepLabXception: Optimized for Qualcomm Devices
DeepLabXception is a semantic segmentation model supporting multiple backbones like ResNet-101 and Xception, with flexible dataset compatibility including COCO, VOC, and Cityscapes.
This is based on the implementation of DeepLabXception 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 2.37, ONNX Runtime 1.23.0 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.37, ONNX Runtime 1.23.0 | Download |
| QNN_DLC | float | Universal | QAIRT 2.42 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.42 | Download |
| TFLITE | float | Universal | QAIRT 2.42, TFLite 2.17.0 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.42, TFLite 2.17.0 | Download |
For more device-specific assets and performance metrics, visit DeepLabXception 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 DeepLabXception on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- Model checkpoint: COCO_WITH_VOC_LABELS_V1
- Input resolution: 480x520
- Number of output classes: 21
- Number of parameters: 41.26M
- Model size (float): 158 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| DeepLabXception | ONNX | float | Snapdragon® X Elite | 21.791 ms | 86 - 86 MB | NPU |
| DeepLabXception | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 15.806 ms | 3 - 304 MB | NPU |
| DeepLabXception | ONNX | float | Qualcomm® QCS8550 (Proxy) | 20.959 ms | 0 - 96 MB | NPU |
| DeepLabXception | ONNX | float | Qualcomm® QCS9075 | 32.676 ms | 3 - 8 MB | NPU |
| DeepLabXception | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 12.183 ms | 2 - 185 MB | NPU |
| DeepLabXception | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 9.236 ms | 0 - 198 MB | NPU |
| DeepLabXception | ONNX | w8a8 | Snapdragon® X Elite | 8.003 ms | 44 - 44 MB | NPU |
| DeepLabXception | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 5.35 ms | 0 - 337 MB | NPU |
| DeepLabXception | ONNX | w8a8 | Qualcomm® QCS6490 | 310.74 ms | 89 - 122 MB | CPU |
| DeepLabXception | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 7.601 ms | 0 - 51 MB | NPU |
| DeepLabXception | ONNX | w8a8 | Qualcomm® QCS9075 | 7.881 ms | 0 - 4 MB | NPU |
| DeepLabXception | ONNX | w8a8 | Qualcomm® QCM6690 | 242.805 ms | 57 - 71 MB | CPU |
| DeepLabXception | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 4.337 ms | 0 - 233 MB | NPU |
| DeepLabXception | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 227.823 ms | 91 - 103 MB | CPU |
| DeepLabXception | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 3.299 ms | 0 - 237 MB | NPU |
| DeepLabXception | QNN_DLC | float | Snapdragon® X Elite | 22.787 ms | 3 - 3 MB | NPU |
| DeepLabXception | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 16.092 ms | 0 - 366 MB | NPU |
| DeepLabXception | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 113.009 ms | 1 - 245 MB | NPU |
| DeepLabXception | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 22.013 ms | 3 - 6 MB | NPU |
| DeepLabXception | QNN_DLC | float | Qualcomm® SA8775P | 30.552 ms | 2 - 246 MB | NPU |
| DeepLabXception | QNN_DLC | float | Qualcomm® QCS9075 | 35.61 ms | 5 - 10 MB | NPU |
| DeepLabXception | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 46.253 ms | 0 - 361 MB | NPU |
| DeepLabXception | QNN_DLC | float | Qualcomm® SA7255P | 113.009 ms | 1 - 245 MB | NPU |
| DeepLabXception | QNN_DLC | float | Qualcomm® SA8295P | 38.823 ms | 0 - 242 MB | NPU |
| DeepLabXception | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 12.132 ms | 0 - 249 MB | NPU |
| DeepLabXception | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 9.141 ms | 3 - 258 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Snapdragon® X Elite | 8.561 ms | 1 - 1 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 5.614 ms | 1 - 373 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 33.905 ms | 1 - 3 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 20.273 ms | 1 - 283 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 7.903 ms | 1 - 3 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Qualcomm® SA8775P | 8.061 ms | 1 - 285 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 8.573 ms | 1 - 3 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 121.023 ms | 1 - 307 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 14.214 ms | 1 - 367 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Qualcomm® SA7255P | 20.273 ms | 1 - 283 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Qualcomm® SA8295P | 12.638 ms | 1 - 275 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 4.411 ms | 1 - 273 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 13.07 ms | 1 - 277 MB | NPU |
| DeepLabXception | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 3.297 ms | 1 - 274 MB | NPU |
| DeepLabXception | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 16.101 ms | 0 - 483 MB | NPU |
| DeepLabXception | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 113.095 ms | 0 - 358 MB | NPU |
| DeepLabXception | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 21.319 ms | 0 - 3 MB | NPU |
| DeepLabXception | TFLITE | float | Qualcomm® SA8775P | 30.518 ms | 0 - 358 MB | NPU |
| DeepLabXception | TFLITE | float | Qualcomm® QCS9075 | 35.068 ms | 0 - 93 MB | NPU |
| DeepLabXception | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 46.083 ms | 0 - 471 MB | NPU |
| DeepLabXception | TFLITE | float | Qualcomm® SA7255P | 113.095 ms | 0 - 358 MB | NPU |
| DeepLabXception | TFLITE | float | Qualcomm® SA8295P | 38.54 ms | 0 - 349 MB | NPU |
| DeepLabXception | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 12.23 ms | 0 - 369 MB | NPU |
| DeepLabXception | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 9.127 ms | 0 - 370 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 5.024 ms | 0 - 373 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Qualcomm® QCS6490 | 31.912 ms | 0 - 58 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 19.046 ms | 0 - 282 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 6.974 ms | 0 - 3 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Qualcomm® SA8775P | 7.236 ms | 0 - 284 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Qualcomm® QCS9075 | 7.448 ms | 0 - 47 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Qualcomm® QCM6690 | 122.599 ms | 0 - 294 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 12.47 ms | 0 - 362 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Qualcomm® SA7255P | 19.046 ms | 0 - 282 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Qualcomm® SA8295P | 11.577 ms | 0 - 275 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 3.939 ms | 0 - 274 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 11.535 ms | 0 - 266 MB | NPU |
| DeepLabXception | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 2.911 ms | 0 - 269 MB | NPU |
License
- The license for the original implementation of DeepLabXception can be found here.
References
- Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
- 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.
