QuickSRNetLarge: Optimized for Qualcomm Devices
QuickSRNet Large is designed for upscaling images on mobile platforms to sharpen in real-time.
This is based on the implementation of QuickSRNetLarge 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 2.43 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.19.1 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.19.1 | Download |
For more device-specific assets and performance metrics, visit QuickSRNetLarge 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 QuickSRNetLarge on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.super_resolution
Model Stats:
- Model checkpoint: quicksrnet_large_3x_checkpoint
- Input resolution: 128x128
- Number of parameters: 436K
- Model size (float): 1.67 MB
- Model size (w8a8): 462 KB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.946 ms | 0 - 23 MB | NPU |
| QuickSRNetLarge | ONNX | float | Snapdragon® X2 Elite | 1.217 ms | 6 - 6 MB | NPU |
| QuickSRNetLarge | ONNX | float | Snapdragon® X Elite | 2.208 ms | 8 - 8 MB | NPU |
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.503 ms | 0 - 39 MB | NPU |
| QuickSRNetLarge | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.98 ms | 0 - 51 MB | NPU |
| QuickSRNetLarge | ONNX | float | Qualcomm® QCS9075 | 3.518 ms | 7 - 10 MB | NPU |
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.249 ms | 0 - 20 MB | NPU |
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.343 ms | 0 - 27 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® X2 Elite | 0.381 ms | 3 - 3 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® X Elite | 0.891 ms | 3 - 3 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.494 ms | 0 - 35 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.76 ms | 0 - 2 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS9075 | 0.966 ms | 0 - 3 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.387 ms | 0 - 23 MB | CPU |
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.82 ms | 0 - 26 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® X2 Elite | 1.218 ms | 0 - 0 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® X Elite | 2.01 ms | 0 - 0 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.293 ms | 0 - 37 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 11.864 ms | 0 - 23 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.812 ms | 0 - 8 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA8775P | 3.414 ms | 0 - 24 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS9075 | 3.374 ms | 0 - 5 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 3.268 ms | 0 - 39 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA7255P | 11.864 ms | 0 - 23 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA8295P | 3.965 ms | 0 - 21 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.053 ms | 0 - 26 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.247 ms | 0 - 24 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.38 ms | 0 - 0 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.72 ms | 0 - 0 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.4 ms | 0 - 32 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 2.767 ms | 0 - 2 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.939 ms | 0 - 23 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.587 ms | 0 - 1 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.789 ms | 0 - 23 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.83 ms | 0 - 2 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 8.346 ms | 0 - 134 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.846 ms | 0 - 32 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.939 ms | 0 - 23 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.346 ms | 0 - 20 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.33 ms | 0 - 21 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.884 ms | 0 - 21 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.852 ms | 0 - 28 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.455 ms | 0 - 40 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 12.32 ms | 3 - 28 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.129 ms | 0 - 1 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8775P | 3.778 ms | 0 - 26 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS9075 | 3.706 ms | 3 - 9 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 3.507 ms | 0 - 40 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA7255P | 12.32 ms | 3 - 28 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8295P | 4.206 ms | 0 - 21 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.083 ms | 0 - 25 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.29 ms | 0 - 25 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.484 ms | 0 - 34 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS6490 | 2.832 ms | 0 - 3 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.17 ms | 0 - 25 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.779 ms | 0 - 1 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8775P | 1.039 ms | 0 - 26 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.966 ms | 0 - 3 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCM6690 | 8.479 ms | 0 - 136 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 1.043 ms | 0 - 35 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA7255P | 2.17 ms | 0 - 25 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8295P | 1.449 ms | 0 - 22 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.371 ms | 0 - 27 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.977 ms | 0 - 23 MB | NPU |
License
- The license for the original implementation of QuickSRNetLarge 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.
