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 2.42, ONNX Runtime 1.24.3	Download
ONNX	w8a8	Universal	QAIRT 2.42, ONNX Runtime 1.24.3	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
QNN_DLC	w8a8	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download
TFLITE	w8a8	Universal	QAIRT 2.45	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® 8 Elite Gen 5 Mobile	0.938 ms	0 - 23 MB	NPU
QuickSRNetLarge	ONNX	float	Snapdragon® 8 Elite Mobile	1.243 ms	0 - 20 MB	NPU
QuickSRNetLarge	ONNX	float	Snapdragon® X2 Elite	1.214 ms	6 - 6 MB	NPU
QuickSRNetLarge	ONNX	float	Snapdragon® X Elite	2.178 ms	8 - 8 MB	NPU
QuickSRNetLarge	ONNX	float	Snapdragon® X Elite	2.178 ms	8 - 8 MB	NPU
QuickSRNetLarge	ONNX	float	Snapdragon® 8 Gen 3 Mobile	1.501 ms	0 - 37 MB	NPU
QuickSRNetLarge	ONNX	float	Qualcomm® QCS8550 (Proxy)	1.986 ms	0 - 2 MB	NPU
QuickSRNetLarge	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	1.243 ms	0 - 20 MB	NPU
QuickSRNetLarge	ONNX	float	Qualcomm® QCS9075	3.522 ms	8 - 11 MB	NPU
QuickSRNetLarge	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.341 ms	0 - 27 MB	CPU
QuickSRNetLarge	ONNX	w8a8	Snapdragon® 8 Elite Mobile	0.394 ms	0 - 23 MB	CPU
QuickSRNetLarge	ONNX	w8a8	Snapdragon® X2 Elite	0.399 ms	3 - 3 MB	CPU
QuickSRNetLarge	ONNX	w8a8	Snapdragon® X Elite	0.886 ms	3 - 3 MB	CPU
QuickSRNetLarge	ONNX	w8a8	Snapdragon® X Elite	0.886 ms	3 - 3 MB	CPU
QuickSRNetLarge	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	0.498 ms	0 - 35 MB	CPU
QuickSRNetLarge	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	0.76 ms	0 - 3 MB	CPU
QuickSRNetLarge	ONNX	w8a8	Qualcomm® QCS9075	0.965 ms	0 - 3 MB	CPU
QuickSRNetLarge	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.394 ms	0 - 23 MB	CPU
QuickSRNetLarge	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.837 ms	0 - 26 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Snapdragon® 8 Elite Mobile	1.038 ms	0 - 23 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Snapdragon® X2 Elite	1.232 ms	0 - 0 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Snapdragon® X Elite	2.016 ms	0 - 0 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Snapdragon® X Elite	2.016 ms	0 - 0 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	1.286 ms	0 - 37 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	1.798 ms	0 - 8 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® SA8775P	3.414 ms	0 - 24 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® SA8775P	3.414 ms	0 - 24 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® SA8775P	3.414 ms	0 - 24 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® SA7255P	11.871 ms	0 - 22 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	3.27 ms	0 - 39 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® SA8295P	3.926 ms	0 - 21 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	1.038 ms	0 - 23 MB	NPU
QuickSRNetLarge	QNN_DLC	float	Qualcomm® QCS9075	3.353 ms	0 - 5 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.251 ms	0 - 27 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® 8 Elite Mobile	0.37 ms	0 - 28 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® X2 Elite	0.412 ms	0 - 0 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® X Elite	0.795 ms	0 - 0 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® X Elite	0.795 ms	0 - 0 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	0.441 ms	0 - 34 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCS6490	2.725 ms	0 - 2 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	0.67 ms	0 - 11 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® SA8775P	0.853 ms	0 - 26 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® SA8775P	0.853 ms	0 - 26 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® SA8775P	0.853 ms	0 - 26 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCS9075	0.854 ms	0 - 2 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.37 ms	0 - 28 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	0.826 ms	0 - 36 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® SA7255P	2.086 ms	0 - 24 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	0.906 ms	0 - 22 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® QCM6690	8.301 ms	0 - 135 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Qualcomm® SA8295P	1.369 ms	0 - 21 MB	NPU
QuickSRNetLarge	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	0.906 ms	0 - 22 MB	NPU
QuickSRNetLarge	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.865 ms	0 - 28 MB	NPU
QuickSRNetLarge	TFLITE	float	Snapdragon® 8 Elite Mobile	1.085 ms	0 - 25 MB	NPU
QuickSRNetLarge	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	1.451 ms	0 - 39 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® QCS8550 (Proxy)	2.136 ms	0 - 2 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® SA8775P	3.787 ms	0 - 27 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® SA8775P	3.787 ms	0 - 27 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® SA8775P	3.787 ms	0 - 27 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® SA7255P	12.202 ms	3 - 28 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® QCS8450 (Proxy)	3.495 ms	0 - 40 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® SA8295P	4.174 ms	0 - 22 MB	NPU
QuickSRNetLarge	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	1.085 ms	0 - 25 MB	NPU
QuickSRNetLarge	TFLITE	float	Qualcomm® QCS9075	3.701 ms	3 - 9 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.281 ms	0 - 28 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Snapdragon® 8 Elite Mobile	0.387 ms	0 - 24 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	0.49 ms	0 - 34 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCS6490	2.947 ms	0 - 3 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	0.785 ms	0 - 66 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® SA8775P	0.995 ms	0 - 27 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® SA8775P	0.995 ms	0 - 27 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® SA8775P	0.995 ms	0 - 27 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCS9075	0.99 ms	0 - 3 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.387 ms	0 - 24 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	0.915 ms	0 - 36 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® SA7255P	2.214 ms	0 - 26 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	0.971 ms	0 - 24 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® QCM6690	8.53 ms	0 - 137 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Qualcomm® SA8295P	1.477 ms	0 - 23 MB	NPU
QuickSRNetLarge	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	0.971 ms	0 - 24 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