PSPNet: Optimized for Qualcomm Devices
PSPNet (Pyramid Scene Parsing Network) is a semantic segmentation model that captures global context information by applying pyramid pooling modules. It is designed to improve scene understanding by aggregating contextual features at multiple scales.
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 1.24.1 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
For more device-specific assets and performance metrics, visit PSPNet 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 PSPNet on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- Model checkpoint: pspnet101_ade20k.pth
- Input resolution: 1x3x473x473
- Number of parameters: 65.7M
- Model size (float): 251 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| PSPNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 323.654 ms | 233 - 1001 MB | NPU |
| PSPNet | ONNX | float | Snapdragon® X2 Elite | 427.869 ms | 266 - 266 MB | NPU |
| PSPNet | ONNX | float | Snapdragon® X Elite | 695.005 ms | 529 - 529 MB | NPU |
| PSPNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 506.756 ms | 136 - 1053 MB | NPU |
| PSPNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 602.812 ms | 195 - 199 MB | NPU |
| PSPNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 333.199 ms | 246 - 1003 MB | NPU |
| PSPNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 16.884 ms | 72 - 340 MB | NPU |
| PSPNet | ONNX | w8a8 | Snapdragon® X2 Elite | 15.251 ms | 131 - 131 MB | NPU |
| PSPNet | ONNX | w8a8 | Snapdragon® X Elite | 28.661 ms | 133 - 133 MB | NPU |
| PSPNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 22.334 ms | 72 - 494 MB | NPU |
| PSPNet | ONNX | w8a8 | Qualcomm® QCS6490 | 3318.926 ms | 196 - 276 MB | CPU |
| PSPNet | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 29.465 ms | 64 - 576 MB | NPU |
| PSPNet | ONNX | w8a8 | Qualcomm® QCS9075 | 34.444 ms | 70 - 74 MB | NPU |
| PSPNet | ONNX | w8a8 | Qualcomm® QCM6690 | 3277.178 ms | 95 - 110 MB | CPU |
| PSPNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 19.038 ms | 72 - 343 MB | NPU |
| PSPNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 2589.577 ms | 50 - 62 MB | CPU |
| PSPNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 269.084 ms | 3 - 741 MB | NPU |
| PSPNet | QNN_DLC | float | Snapdragon® X2 Elite | 229.121 ms | 3 - 3 MB | NPU |
| PSPNet | QNN_DLC | float | Snapdragon® X Elite | 545.535 ms | 3 - 3 MB | NPU |
| PSPNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 623.685 ms | 0 - 874 MB | NPU |
| PSPNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 1863.358 ms | 2 - 722 MB | NPU |
| PSPNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 608.77 ms | 3 - 5 MB | NPU |
| PSPNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1689.881 ms | 0 - 431 MB | NPU |
| PSPNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 301.937 ms | 0 - 718 MB | NPU |
| PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 16.214 ms | 1 - 239 MB | NPU |
| PSPNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 14.344 ms | 1 - 1 MB | NPU |
| PSPNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 26.117 ms | 1 - 1 MB | NPU |
| PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 20.679 ms | 1 - 365 MB | NPU |
| PSPNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 63.897 ms | 1 - 263 MB | NPU |
| PSPNet | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 27.013 ms | 0 - 9 MB | NPU |
| PSPNet | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 31.865 ms | 0 - 34 MB | NPU |
| PSPNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 36.677 ms | 1 - 358 MB | NPU |
| PSPNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 18.068 ms | 1 - 234 MB | NPU |
| PSPNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 91.895 ms | 1 - 458 MB | NPU |
| PSPNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 326.397 ms | 128 - 965 MB | NPU |
| PSPNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 528.08 ms | 0 - 1049 MB | NPU |
| PSPNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 1688.514 ms | 124 - 958 MB | NPU |
| PSPNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 619.017 ms | 128 - 131 MB | NPU |
| PSPNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1563.118 ms | 125 - 698 MB | NPU |
| PSPNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 974.903 ms | 128 - 884 MB | NPU |
| PSPNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 17.665 ms | 32 - 284 MB | NPU |
| PSPNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 26.587 ms | 30 - 427 MB | NPU |
| PSPNet | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 74.606 ms | 32 - 304 MB | NPU |
| PSPNet | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 34.862 ms | 32 - 35 MB | NPU |
| PSPNet | TFLITE | w8a8 | Qualcomm® QCS9075 | 38.16 ms | 32 - 131 MB | NPU |
| PSPNet | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 55.328 ms | 32 - 417 MB | NPU |
| PSPNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 22.633 ms | 32 - 286 MB | NPU |
| PSPNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 356.021 ms | 384 - 904 MB | NPU |
License
- The license for the original implementation of PSPNet can be found here.
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.