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 2.37, ONNX Runtime 1.23.0	Download
QNN_DLC	float	Universal	QAIRT 2.42	Download
QNN_DLC	w8a8	Universal	QAIRT 2.42	Download
TFLITE	float	Universal	QAIRT 2.42, TFLite 2.17.0	Download
TFLITE	w8a8	Universal	QAIRT 2.42, TFLite 2.17.0	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® X Elite	2.289 ms	7 - 7 MB	NPU
QuickSRNetLarge	ONNX	float	Snapdragon® 8 Gen 3 Mobile	1.721 ms	0 - 103 MB	NPU
QuickSRNetLarge	ONNX	float	Qualcomm® QCS8550 (Proxy)	2.355 ms	0 - 59 MB	NPU
QuickSRNetLarge	ONNX	float	Qualcomm® QCS9075	3.723 ms	7 - 10 MB	NPU
QuickSRNetLarge	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	1.354 ms	0 - 92 MB	NPU
QuickSRNetLarge	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	1.054 ms	0 - 91 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Snapdragon® X Elite	2.019 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	Qualcomm® QCS8275 (Proxy)	11.865 ms	0 - 22 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	1.825 ms	0 - 1 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® SA8775P	14.61 ms	0 - 25 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® QCS9075	3.349 ms	0 - 5 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	3.288 ms	0 - 38 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® SA7255P	11.865 ms	0 - 22 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® SA8295P	3.937 ms	0 - 20 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	1.04 ms	0 - 22 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.831 ms	0 - 27 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® X Elite	0.738 ms	0 - 0 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	0.395 ms	0 - 32 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCS6490	2.713 ms	2 - 4 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	1.947 ms	0 - 22 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	0.589 ms	0 - 1 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® SA8775P	0.771 ms	0 - 23 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCS9075	0.832 ms	2 - 4 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCM6690	8.347 ms	0 - 134 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	0.857 ms	0 - 32 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® SA7255P	1.947 ms	0 - 22 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® SA8295P	1.343 ms	0 - 20 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.345 ms	0 - 21 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	0.884 ms	0 - 21 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.266 ms	0 - 24 MB	NPU
QuickSRNetLarge	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	1.461 ms	0 - 40 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® QCS8275 (Proxy)	12.085 ms	3 - 29 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® QCS8550 (Proxy)	2.154 ms	0 - 1 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® SA8775P	3.734 ms	0 - 26 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® QCS9075	3.697 ms	3 - 9 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® QCS8450 (Proxy)	3.514 ms	0 - 40 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® SA7255P	12.085 ms	3 - 29 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® SA8295P	4.177 ms	0 - 22 MB	NPU
QuickSRNetLarge	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	1.094 ms	0 - 24 MB	NPU
QuickSRNetLarge	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.872 ms	0 - 28 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	0.483 ms	0 - 34 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCS6490	2.695 ms	0 - 3 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	2.228 ms	0 - 26 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	0.766 ms	0 - 1 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® SA8775P	0.994 ms	0 - 27 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCS9075	0.965 ms	0 - 3 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCM6690	8.51 ms	0 - 136 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	1.034 ms	0 - 35 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® SA7255P	2.228 ms	0 - 26 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® SA8295P	1.476 ms	0 - 23 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.371 ms	0 - 26 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	0.977 ms	0 - 23 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.331 ms	0 - 26 MB	NPU

License

The license for the original implementation of QuickSRNetLarge can be found here.

References

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.

Downloads last month: -; Downloads are not tracked for this model. How to track

Paper for qualcomm/QuickSRNetLarge

QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms

Paper • 2303.04336 • Published Mar 8, 2023