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 1.24.3 | 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 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 | 0.397 ms | 0 - 21 MB | NPU |
| QuickSRNetSmall | ONNX | float | Snapdragon® X2 Elite | 0.374 ms | 6 - 6 MB | NPU |
| QuickSRNetSmall | ONNX | float | Snapdragon® X Elite | 1.034 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) | 0.901 ms | 0 - 14 MB | NPU |
| QuickSRNetSmall | ONNX | float | Qualcomm® QCS9075 | 1.175 ms | 7 - 10 MB | NPU |
| QuickSRNetSmall | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.465 ms | 0 - 17 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.216 ms | 0 - 21 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Snapdragon® X2 Elite | 0.216 ms | 3 - 3 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Snapdragon® X Elite | 0.602 ms | 3 - 3 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.338 ms | 0 - 27 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.524 ms | 0 - 2 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Qualcomm® QCS9075 | 0.669 ms | 0 - 3 MB | NPU |
| QuickSRNetSmall | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.248 ms | 0 - 22 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.302 ms | 0 - 23 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Snapdragon® X2 Elite | 0.436 ms | 0 - 0 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Snapdragon® X Elite | 0.859 ms | 0 - 0 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.447 ms | 0 - 28 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 1.871 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.729 ms | 0 - 6 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA8775P | 1.087 ms | 0 - 21 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS9075 | 1.105 ms | 0 - 5 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.025 ms | 0 - 29 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA7255P | 1.871 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Qualcomm® SA8295P | 1.377 ms | 0 - 17 MB | NPU |
| QuickSRNetSmall | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.344 ms | 0 - 19 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.148 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.233 ms | 0 - 0 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.425 ms | 0 - 0 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.216 ms | 0 - 24 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.284 ms | 2 - 4 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.79 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.343 ms | 0 - 1 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.525 ms | 0 - 19 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.501 ms | 0 - 2 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 1.205 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 | 0.79 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.705 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 | 0.351 ms | 0 - 17 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.381 ms | 0 - 23 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.621 ms | 0 - 28 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 2.375 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.012 ms | 0 - 1 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® SA8775P | 1.442 ms | 0 - 21 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® QCS9075 | 1.267 ms | 3 - 8 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.307 ms | 0 - 29 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® SA7255P | 2.375 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Qualcomm® SA8295P | 1.658 ms | 0 - 17 MB | NPU |
| QuickSRNetSmall | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.443 ms | 0 - 20 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.161 ms | 0 - 19 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.267 ms | 0 - 25 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.144 ms | 0 - 2 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.891 ms | 0 - 19 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.4 ms | 0 - 1 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA8775P | 0.592 ms | 0 - 19 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.523 ms | 0 - 3 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCM6690 | 1.486 ms | 0 - 16 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.469 ms | 0 - 26 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA7255P | 0.891 ms | 0 - 19 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Qualcomm® SA8295P | 0.784 ms | 0 - 15 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.199 ms | 0 - 17 MB | NPU |
| QuickSRNetSmall | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.408 ms | 0 - 16 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.
