QuickSRNetMedium: Optimized for Qualcomm Devices
QuickSRNet Medium is designed for upscaling images on mobile platforms to sharpen in real-time.
This is based on the implementation of QuickSRNetMedium 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 QuickSRNetMedium 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 QuickSRNetMedium on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.super_resolution
Model Stats:
- Model checkpoint: quicksrnet_medium_3x_checkpoint
- Input resolution: 128x128
- Number of parameters: 61.0K
- Model size (float): 243 KB
- Model size (w8a8): 73.9 KB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| QuickSRNetMedium | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.45 ms | 0 - 22 MB | NPU |
| QuickSRNetMedium | ONNX | float | Snapdragon® X2 Elite | 0.456 ms | 6 - 6 MB | NPU |
| QuickSRNetMedium | ONNX | float | Snapdragon® X Elite | 1.098 ms | 8 - 8 MB | NPU |
| QuickSRNetMedium | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.66 ms | 0 - 28 MB | NPU |
| QuickSRNetMedium | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.958 ms | 0 - 2 MB | NPU |
| QuickSRNetMedium | ONNX | float | Qualcomm® QCS9075 | 1.337 ms | 6 - 9 MB | NPU |
| QuickSRNetMedium | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.552 ms | 0 - 19 MB | NPU |
| QuickSRNetMedium | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.229 ms | 0 - 23 MB | CPU |
| QuickSRNetMedium | ONNX | w8a8 | Snapdragon® X2 Elite | 0.236 ms | 3 - 3 MB | CPU |
| QuickSRNetMedium | ONNX | w8a8 | Snapdragon® X Elite | 0.628 ms | 3 - 3 MB | CPU |
| QuickSRNetMedium | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.342 ms | 0 - 29 MB | CPU |
| QuickSRNetMedium | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.514 ms | 0 - 2 MB | CPU |
| QuickSRNetMedium | ONNX | w8a8 | Qualcomm® QCS9075 | 0.689 ms | 0 - 3 MB | CPU |
| QuickSRNetMedium | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.254 ms | 0 - 23 MB | CPU |
| QuickSRNetMedium | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.324 ms | 0 - 24 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Snapdragon® X2 Elite | 0.497 ms | 0 - 0 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Snapdragon® X Elite | 0.89 ms | 0 - 0 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.502 ms | 0 - 30 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 2.516 ms | 0 - 22 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.778 ms | 0 - 2 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Qualcomm® SA8775P | 1.225 ms | 0 - 22 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Qualcomm® QCS9075 | 1.198 ms | 0 - 5 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.152 ms | 0 - 31 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Qualcomm® SA7255P | 2.516 ms | 0 - 22 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Qualcomm® SA8295P | 1.554 ms | 0 - 18 MB | NPU |
| QuickSRNetMedium | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.382 ms | 0 - 20 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.147 ms | 0 - 20 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.249 ms | 0 - 0 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.475 ms | 0 - 0 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.217 ms | 0 - 27 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.173 ms | 0 - 2 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.821 ms | 0 - 19 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.356 ms | 0 - 1 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.548 ms | 0 - 20 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.497 ms | 0 - 2 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 1.557 ms | 0 - 16 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.511 ms | 0 - 27 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Qualcomm® SA7255P | 0.821 ms | 0 - 19 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.72 ms | 0 - 16 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.185 ms | 0 - 22 MB | NPU |
| QuickSRNetMedium | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.383 ms | 0 - 18 MB | NPU |
| QuickSRNetMedium | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.413 ms | 0 - 24 MB | NPU |
| QuickSRNetMedium | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.672 ms | 0 - 30 MB | NPU |
| QuickSRNetMedium | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 3.094 ms | 0 - 22 MB | NPU |
| QuickSRNetMedium | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.08 ms | 0 - 1 MB | NPU |
| QuickSRNetMedium | TFLITE | float | Qualcomm® SA8775P | 1.583 ms | 0 - 22 MB | NPU |
| QuickSRNetMedium | TFLITE | float | Qualcomm® QCS9075 | 1.422 ms | 1 - 6 MB | NPU |
| QuickSRNetMedium | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.446 ms | 0 - 30 MB | NPU |
| QuickSRNetMedium | TFLITE | float | Qualcomm® SA7255P | 3.094 ms | 0 - 22 MB | NPU |
| QuickSRNetMedium | TFLITE | float | Qualcomm® SA8295P | 1.817 ms | 0 - 18 MB | NPU |
| QuickSRNetMedium | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.5 ms | 0 - 20 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.172 ms | 0 - 21 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.3 ms | 0 - 27 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.274 ms | 0 - 3 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.98 ms | 0 - 19 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.444 ms | 0 - 2 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Qualcomm® SA8775P | 0.661 ms | 0 - 20 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.574 ms | 0 - 3 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Qualcomm® QCM6690 | 1.944 ms | 0 - 17 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.514 ms | 0 - 28 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Qualcomm® SA7255P | 0.98 ms | 0 - 19 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Qualcomm® SA8295P | 0.837 ms | 0 - 16 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.217 ms | 0 - 22 MB | NPU |
| QuickSRNetMedium | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.46 ms | 0 - 17 MB | NPU |
License
- The license for the original implementation of QuickSRNetMedium 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.
