QuickSRNetSmall: Optimized for Qualcomm Devices
QuickSRNet Small is designed for upscaling images on mobile platforms to sharpen in real-time.
This is based on the implementation of QuickSRNetSmall 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 1.24.1 | 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 QuickSRNetSmall 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 QuickSRNetSmall on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.super_resolution
Model Stats:
- Model checkpoint: quicksrnet_small_3x_checkpoint
- Input resolution: 128x128
- Number of parameters: 33.3K
- Model size (float): 133 KB
- Model size (w8a8): 41.7 KB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| QuickSRNetSmall | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.406 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | ONNX | float | Snapdragon® X2 Elite | 0.43 ms | 6 - 6 MB | NPU |
| QuickSRNetSmall | ONNX | float | Snapdragon® X Elite | 1.045 ms | 9 - 9 MB | NPU |
| QuickSRNetSmall | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.603 ms | 0 - 26 MB | NPU |
| QuickSRNetSmall | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.916 ms | 0 - 2 MB | NPU |
| QuickSRNetSmall | ONNX | float | Qualcomm® QCS9075 | 1.171 ms | 8 - 11 MB | NPU |
| QuickSRNetSmall | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.486 ms | 0 - 17 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.215 ms | 0 - 21 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Snapdragon® X2 Elite | 0.23 ms | 3 - 3 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Snapdragon® X Elite | 0.61 ms | 3 - 3 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.341 ms | 0 - 27 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.505 ms | 0 - 5 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Qualcomm® QCS9075 | 0.675 ms | 0 - 3 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.248 ms | 0 - 19 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.315 ms | 0 - 23 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Snapdragon® X2 Elite | 0.441 ms | 0 - 0 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Snapdragon® X Elite | 0.849 ms | 0 - 0 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.448 ms | 0 - 28 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 1.857 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.727 ms | 0 - 4 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA8775P | 1.091 ms | 0 - 21 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS9075 | 1.101 ms | 2 - 7 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.029 ms | 0 - 29 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA7255P | 1.857 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA8295P | 1.401 ms | 0 - 17 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.367 ms | 0 - 23 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.149 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.243 ms | 0 - 0 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.428 ms | 0 - 0 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.219 ms | 0 - 24 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.265 ms | 2 - 4 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.793 ms | 0 - 18 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.322 ms | 0 - 2 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.516 ms | 0 - 19 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.5 ms | 0 - 2 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 1.21 ms | 0 - 16 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.457 ms | 0 - 26 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA7255P | 0.793 ms | 0 - 18 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.713 ms | 0 - 15 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.178 ms | 0 - 21 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.345 ms | 0 - 17 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.385 ms | 0 - 23 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.645 ms | 0 - 28 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 2.384 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.012 ms | 0 - 1 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® SA8775P | 1.393 ms | 0 - 21 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® QCS9075 | 1.268 ms | 3 - 8 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.305 ms | 3 - 31 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® SA7255P | 2.384 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® SA8295P | 1.654 ms | 0 - 17 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.444 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.162 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.265 ms | 0 - 24 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.038 ms | 0 - 2 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.887 ms | 0 - 18 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.379 ms | 0 - 2 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA8775P | 0.589 ms | 0 - 19 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.538 ms | 0 - 3 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCM6690 | 1.505 ms | 0 - 16 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.464 ms | 0 - 25 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA7255P | 0.887 ms | 0 - 18 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA8295P | 0.786 ms | 0 - 15 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.212 ms | 0 - 21 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.406 ms | 0 - 17 MB | NPU |
License
- The license for the original implementation of QuickSRNetSmall can be found here.
References
- QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms
- 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.
