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

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetlarge/web-assets/model_demo.png)

# 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/main/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 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetlarge/releases/v0.56.0/quicksrnetlarge-onnx-float.zip)
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/quicksrnetlarge/releases/v0.56.0/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/v0.56.0/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/v0.56.0/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/v0.56.0/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/v0.56.0/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/main/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/main/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 | 1.197 ms | 213 - 213 MB | NPU
| QuickSRNetLarge | ONNX | float | Snapdragon® X Elite | 1.981 ms | 150 - 150 MB | NPU
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.433 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 3.46 ms | 0 - 36 MB | NPU
| QuickSRNetLarge | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.904 ms | 0 - 5 MB | NPU
| QuickSRNetLarge | ONNX | float | Qualcomm® QCS8450 | 3.46 ms | 0 - 36 MB | NPU
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Elite Mobile | 1.2 ms | 0 - 20 MB | NPU
| QuickSRNetLarge | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.916 ms | 0 - 17 MB | NPU
| QuickSRNetLarge | ONNX | float | Qualcomm® QCS9075 | 3.523 ms | 7 - 53 MB | NPU
| QuickSRNetLarge | ONNX | float | Qualcomm® QCS8750 | 1.2 ms | 0 - 20 MB | NPU
| QuickSRNetLarge | ONNX | float | Qualcomm® QCS7181 | 1.981 ms | 150 - 150 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® X2 Elite | 0.354 ms | 213 - 213 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® X Elite | 0.779 ms | 181 - 181 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.514 ms | 0 - 29 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.068 ms | 2 - 35 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS6490 | 3.063 ms | 1 - 47 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.78 ms | 0 - 6 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS8450 | 1.068 ms | 2 - 35 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.316 ms | 0 - 21 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.107 ms | 0 - 21 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCM6690 | 9.06 ms | 1 - 140 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS9075 | 0.991 ms | 0 - 46 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.383 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS7790 | 1.107 ms | 0 - 21 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS8750 | 0.383 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | ONNX | w8a8 | Qualcomm® QCS7181 | 0.779 ms | 181 - 181 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® X2 Elite | 1.245 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® X Elite | 1.971 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.29 ms | 0 - 37 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.265 ms | 0 - 43 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8275 | 11.87 ms | 0 - 23 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.805 ms | 0 - 4 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8450 | 3.265 ms | 0 - 43 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.041 ms | 0 - 23 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA8295P | 3.915 ms | 0 - 20 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.837 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® SA7255P | 11.87 ms | 0 - 23 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS9075 | 3.363 ms | 0 - 5 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS8750 | 1.041 ms | 0 - 23 MB | NPU
| QuickSRNetLarge | QNN_DLC | float | Qualcomm® QCS7181 | 1.971 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.423 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.777 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.442 ms | 0 - 34 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.823 ms | 0 - 35 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 2.736 ms | 0 - 2 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8275 | 2.121 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.649 ms | 0 - 30 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 0.823 ms | 0 - 35 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.267 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.912 ms | 0 - 22 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 8.322 ms | 0 - 136 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.851 ms | 2 - 4 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.121 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.374 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.374 ms | 0 - 21 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS7790 | 0.912 ms | 0 - 22 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS8750 | 0.374 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | QNN_DLC | w8a8 | Qualcomm® QCS7181 | 0.777 ms | 0 - 0 MB | NPU
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.448 ms | 0 - 39 MB | NPU
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.499 ms | 0 - 44 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8275 | 12.183 ms | 3 - 28 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.138 ms | 0 - 2 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8775P | 27.916 ms | 3 - 20 MB | GPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8650P | 27.916 ms | 3 - 20 MB | GPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8255P | 27.916 ms | 3 - 20 MB | GPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8450 | 3.499 ms | 0 - 44 MB | NPU
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.081 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA8295P | 4.182 ms | 0 - 22 MB | NPU
| QuickSRNetLarge | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.866 ms | 0 - 28 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® SA7255P | 12.183 ms | 3 - 28 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS9075 | 3.704 ms | 3 - 9 MB | NPU
| QuickSRNetLarge | TFLITE | float | Qualcomm® QCS8750 | 1.081 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.504 ms | 0 - 34 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.91 ms | 0 - 40 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS6490 | 2.951 ms | 0 - 3 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8275 | 2.188 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.784 ms | 0 - 1 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8775P | 28.64 ms | 4 - 26 MB | GPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8650P | 28.64 ms | 4 - 26 MB | GPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8255P | 28.64 ms | 4 - 26 MB | GPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8450 | 0.91 ms | 0 - 40 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.287 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.969 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCM6690 | 8.555 ms | 0 - 137 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.978 ms | 0 - 3 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA7255P | 2.188 ms | 0 - 26 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.386 ms | 0 - 29 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® SA8295P | 1.47 ms | 0 - 23 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS7790 | 0.969 ms | 0 - 24 MB | NPU
| QuickSRNetLarge | TFLITE | w8a8 | Qualcomm® QCS8750 | 0.386 ms | 0 - 29 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).