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library_name: pytorch
license: other
tags:
- android
pipeline_tag: image-to-image
---

# 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](https://github.com/quic/aimet-model-zoo/tree/develop/aimet_zoo_torch/quicksrnet).
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/quicksrnetlarge) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) 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 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetlarge/releases/v0.59.0/quicksrnetlarge-onnx-float.zip)
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetlarge/releases/v0.59.0/quicksrnetlarge-onnx-w8a8.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetlarge/releases/v0.59.0/quicksrnetlarge-qnn_dlc-float.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetlarge/releases/v0.59.0/quicksrnetlarge-qnn_dlc-w8a8.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetlarge/releases/v0.59.0/quicksrnetlarge-tflite-float.zip)
| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetlarge/releases/v0.59.0/quicksrnetlarge-tflite-w8a8.zip)
For more device-specific assets and performance metrics, visit **[QuickSRNetLarge on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/quicksrnetlarge)**.
### Option 2: Export with Custom Configurations
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/quicksrnetlarge) 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](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/quicksrnetlarge) 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® X2 Elite | 1.195 ms | 9 - 9 MB | NPU
| QuickSRNetLarge | ONNX | float | Snapdragon® X Elite | 1.964 ms | 8 - 8 MB | NPU
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.431 ms | 0 - 38 MB | NPU
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 3.419 ms | 0 - 45 MB | NPU
| QuickSRNetLarge | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.908 ms | 0 - 2 MB | NPU
| QuickSRNetLarge | ONNX | float | Qualcomm® QCS8450 | 3.419 ms | 0 - 45 MB | NPU
| QuickSRNetLarge | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 3.33 ms | 8 - 10 MB | NPU
| QuickSRNetLarge | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.964 ms | 8 - 8 MB | NPU
| QuickSRNetLarge | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.202 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Elite Mobile | 1.202 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.943 ms | 0 - 23 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® X2 Elite | 0.355 ms | 3 - 3 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® X Elite | 0.791 ms | 3 - 3 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.509 ms | 37 - 74 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.073 ms | 1 - 41 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 3.141 ms | 0 - 3 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.78 ms | 0 - 2 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS8450 | 1.073 ms | 1 - 41 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.058 ms | 0 - 3 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.791 ms | 3 - 3 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.383 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.383 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.335 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® X2 Elite | 1.237 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® X Elite | 2.008 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.283 ms | 0 - 36 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.276 ms | 0 - 43 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8275 | 11.834 ms | 0 - 23 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.807 ms | 0 - 2 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA8775P | 3.406 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA8650P | 3.406 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA8255P | 3.406 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8450 | 3.276 ms | 0 - 43 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 3.243 ms | 0 - 5 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.008 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.041 ms | 0 - 29 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA7255P | 11.834 ms | 0 - 23 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA8295P | 3.937 ms | 0 - 20 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.041 ms | 0 - 29 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.862 ms | 0 - 25 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.401 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.761 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.44 ms | 0 - 34 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.817 ms | 0 - 39 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 3.075 ms | 2 - 4 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8275 | 2.079 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.664 ms | 0 - 4 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.848 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA8650P | 0.848 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA8255P | 0.848 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 0.817 ms | 0 - 39 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.75 ms | 2 - 4 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.761 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 8.321 ms | 0 - 135 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.913 ms | 0 - 22 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.365 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.079 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.408 ms | 0 - 21 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.365 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.273 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.913 ms | 0 - 22 MB | NPU
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.453 ms | 0 - 39 MB | NPU
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.516 ms | 0 - 44 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 12.216 ms | 3 - 28 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.148 ms | 0 - 1 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8775P | 3.82 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8650P | 3.82 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8255P | 3.82 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8450 | 3.516 ms | 0 - 44 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 3.619 ms | 3 - 9 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.077 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA7255P | 12.216 ms | 3 - 28 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8295P | 4.167 ms | 3 - 25 MB | NPU
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.077 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.875 ms | 0 - 27 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.487 ms | 0 - 35 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.912 ms | 1 - 41 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 3.171 ms | 0 - 3 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8275 | 2.176 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.783 ms | 0 - 4 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8775P | 1.012 ms | 0 - 27 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8650P | 1.012 ms | 0 - 27 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8255P | 1.012 ms | 0 - 27 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8450 | 0.912 ms | 1 - 41 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.971 ms | 0 - 3 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 8.547 ms | 2 - 138 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.97 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.383 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA7255P | 2.176 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8295P | 1.465 ms | 0 - 23 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.383 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.301 ms | 0 - 27 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.97 ms | 0 - 24 MB | NPU
## License
* The license for the original implementation of QuickSRNetLarge can be found
[here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.md).
## References
* [QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms](https://arxiv.org/abs/2303.04336)
* [Source Model Implementation](https://github.com/quic/aimet-model-zoo/tree/develop/aimet_zoo_torch/quicksrnet)
## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).
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