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 2.45 | 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 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 | 0.936 ms | 0 - 23 MB | NPU |
| QuickSRNetLarge | ONNX | float | Snapdragon® X2 Elite | 1.208 ms | 6 - 6 MB | NPU |
| QuickSRNetLarge | ONNX | float | Snapdragon® X Elite | 2.166 ms | 8 - 8 MB | NPU |
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.508 ms | 0 - 38 MB | NPU |
| QuickSRNetLarge | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.975 ms | 0 - 13 MB | NPU |
| QuickSRNetLarge | ONNX | float | Qualcomm® QCS9075 | 3.528 ms | 6 - 9 MB | NPU |
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.248 ms | 0 - 24 MB | NPU |
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.342 ms | 0 - 28 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® X2 Elite | 0.414 ms | 3 - 3 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® X Elite | 0.873 ms | 3 - 3 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.499 ms | 0 - 35 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.753 ms | 0 - 23 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS9075 | 0.963 ms | 0 - 3 MB | CPU |
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.389 ms | 0 - 23 MB | CPU |
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.835 ms | 0 - 26 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® X2 Elite | 1.257 ms | 0 - 0 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® X Elite | 1.999 ms | 0 - 0 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.285 ms | 0 - 36 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 11.876 ms | 0 - 22 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.807 ms | 0 - 3 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA8775P | 3.402 ms | 0 - 24 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS9075 | 3.358 ms | 0 - 5 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 3.259 ms | 0 - 40 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA7255P | 11.876 ms | 0 - 22 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA8295P | 3.943 ms | 0 - 20 MB | NPU |
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.04 ms | 0 - 27 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.256 ms | 0 - 27 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.411 ms | 0 - 0 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.793 ms | 0 - 0 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.442 ms | 0 - 33 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 2.696 ms | 2 - 4 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.136 ms | 0 - 24 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.647 ms | 0 - 64 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.853 ms | 0 - 26 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.846 ms | 0 - 2 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 8.313 ms | 0 - 135 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.818 ms | 0 - 34 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.136 ms | 0 - 24 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.398 ms | 0 - 22 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.37 ms | 0 - 24 MB | NPU |
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.914 ms | 0 - 23 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.86 ms | 0 - 28 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.447 ms | 0 - 39 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 12.19 ms | 3 - 28 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.13 ms | 0 - 1 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8775P | 3.827 ms | 0 - 26 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS9075 | 3.713 ms | 1 - 7 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 3.49 ms | 0 - 40 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA7255P | 12.19 ms | 3 - 28 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8295P | 4.194 ms | 0 - 22 MB | NPU |
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.082 ms | 0 - 25 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.289 ms | 0 - 28 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.486 ms | 0 - 35 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS6490 | 2.867 ms | 0 - 3 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 2.206 ms | 0 - 26 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.786 ms | 0 - 1 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8775P | 0.999 ms | 0 - 27 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.971 ms | 0 - 3 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCM6690 | 8.548 ms | 0 - 136 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.912 ms | 0 - 36 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA7255P | 2.206 ms | 0 - 26 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8295P | 1.461 ms | 0 - 23 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.382 ms | 0 - 24 MB | NPU |
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.971 ms | 0 - 24 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.
