SESR-M5: Optimized for Qualcomm Devices

SESR M5 performs efficient on-device upscaling of images.

This is based on the implementation of SESR-M5 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 SESR-M5 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 SESR-M5 on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.super_resolution

Model Stats:

• Model checkpoint: sesr_m5_3x_checkpoint
• Input resolution: 128x128
• Number of parameters: 343K
• Model size (float): 1.32 MB
• Model size (w8a8): 395 KB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
SESR-M5	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.97 ms	0 - 25 MB	NPU
SESR-M5	ONNX	float	Snapdragon® X2 Elite	1.146 ms	6 - 6 MB	NPU
SESR-M5	ONNX	float	Snapdragon® X Elite	2.204 ms	8 - 8 MB	NPU
SESR-M5	ONNX	float	Snapdragon® 8 Gen 3 Mobile	1.457 ms	0 - 35 MB	NPU
SESR-M5	ONNX	float	Qualcomm® QCS8550 (Proxy)	2.003 ms	0 - 6 MB	NPU
SESR-M5	ONNX	float	Qualcomm® QCS9075	3.204 ms	6 - 9 MB	NPU
SESR-M5	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	1.214 ms	0 - 21 MB	NPU
SESR-M5	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.375 ms	0 - 26 MB	NPU
SESR-M5	ONNX	w8a8	Snapdragon® X2 Elite	0.407 ms	0 - 0 MB	NPU
SESR-M5	ONNX	w8a8	Snapdragon® X Elite	0.915 ms	3 - 3 MB	NPU
SESR-M5	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	0.543 ms	0 - 33 MB	NPU
SESR-M5	ONNX	w8a8	Qualcomm® QCS6490	42.215 ms	38 - 41 MB	CPU
SESR-M5	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	0.788 ms	0 - 2 MB	NPU
SESR-M5	ONNX	w8a8	Qualcomm® QCS9075	0.985 ms	0 - 3 MB	NPU
SESR-M5	ONNX	w8a8	Qualcomm® QCM6690	31.246 ms	38 - 44 MB	CPU
SESR-M5	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.431 ms	0 - 27 MB	NPU
SESR-M5	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	23.807 ms	38 - 45 MB	CPU
SESR-M5	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.87 ms	0 - 27 MB	NPU
SESR-M5	QNN_DLC	float	Snapdragon® X2 Elite	1.202 ms	0 - 0 MB	NPU
SESR-M5	QNN_DLC	float	Snapdragon® X Elite	2.079 ms	0 - 0 MB	NPU
SESR-M5	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	1.273 ms	0 - 34 MB	NPU
SESR-M5	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	10.526 ms	0 - 23 MB	NPU
SESR-M5	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	1.874 ms	0 - 5 MB	NPU
SESR-M5	QNN_DLC	float	Qualcomm® SA8775P	3.03 ms	0 - 25 MB	NPU
SESR-M5	QNN_DLC	float	Qualcomm® QCS9075	3.054 ms	0 - 5 MB	NPU
SESR-M5	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	2.771 ms	0 - 37 MB	NPU
SESR-M5	QNN_DLC	float	Qualcomm® SA7255P	10.526 ms	0 - 23 MB	NPU
SESR-M5	QNN_DLC	float	Qualcomm® SA8295P	3.512 ms	0 - 22 MB	NPU
SESR-M5	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	1.03 ms	0 - 24 MB	NPU
SESR-M5	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.296 ms	0 - 26 MB	NPU
SESR-M5	QNN_DLC	w8a8	Snapdragon® X2 Elite	0.443 ms	0 - 0 MB	NPU
SESR-M5	QNN_DLC	w8a8	Snapdragon® X Elite	0.749 ms	0 - 0 MB	NPU
SESR-M5	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	0.44 ms	0 - 32 MB	NPU
SESR-M5	QNN_DLC	w8a8	Qualcomm® QCS6490	2.675 ms	0 - 2 MB	NPU
SESR-M5	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	1.962 ms	0 - 23 MB	NPU
SESR-M5	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	0.603 ms	0 - 16 MB	NPU
SESR-M5	QNN_DLC	w8a8	Qualcomm® SA8775P	0.835 ms	0 - 26 MB	NPU
SESR-M5	QNN_DLC	w8a8	Qualcomm® QCS9075	0.893 ms	0 - 2 MB	NPU
SESR-M5	QNN_DLC	w8a8	Qualcomm® QCM6690	6.815 ms	0 - 139 MB	NPU
SESR-M5	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	0.859 ms	0 - 34 MB	NPU
SESR-M5	QNN_DLC	w8a8	Qualcomm® SA7255P	1.962 ms	0 - 23 MB	NPU
SESR-M5	QNN_DLC	w8a8	Qualcomm® SA8295P	1.359 ms	0 - 21 MB	NPU
SESR-M5	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.379 ms	0 - 23 MB	NPU
SESR-M5	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	0.781 ms	0 - 22 MB	NPU
SESR-M5	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.871 ms	0 - 28 MB	NPU
SESR-M5	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	1.273 ms	0 - 35 MB	NPU
SESR-M5	TFLITE	float	Qualcomm® QCS8275 (Proxy)	10.579 ms	3 - 26 MB	NPU
SESR-M5	TFLITE	float	Qualcomm® QCS8550 (Proxy)	1.886 ms	0 - 5 MB	NPU
SESR-M5	TFLITE	float	Qualcomm® SA8775P	3.052 ms	0 - 26 MB	NPU
SESR-M5	TFLITE	float	Qualcomm® QCS9075	3.073 ms	3 - 9 MB	NPU
SESR-M5	TFLITE	float	Qualcomm® QCS8450 (Proxy)	2.784 ms	0 - 37 MB	NPU
SESR-M5	TFLITE	float	Qualcomm® SA7255P	10.579 ms	3 - 26 MB	NPU
SESR-M5	TFLITE	float	Qualcomm® SA8295P	3.481 ms	3 - 25 MB	NPU
SESR-M5	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	1.036 ms	0 - 24 MB	NPU
SESR-M5	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.302 ms	0 - 26 MB	NPU
SESR-M5	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	0.463 ms	0 - 31 MB	NPU
SESR-M5	TFLITE	w8a8	Qualcomm® QCS6490	2.42 ms	0 - 3 MB	NPU
SESR-M5	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	1.985 ms	0 - 23 MB	NPU
SESR-M5	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	0.62 ms	0 - 1 MB	NPU
SESR-M5	TFLITE	w8a8	Qualcomm® SA8775P	0.856 ms	0 - 26 MB	NPU
SESR-M5	TFLITE	w8a8	Qualcomm® QCS9075	0.896 ms	0 - 3 MB	NPU
SESR-M5	TFLITE	w8a8	Qualcomm® QCM6690	6.836 ms	1 - 135 MB	NPU
SESR-M5	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	0.866 ms	0 - 33 MB	NPU
SESR-M5	TFLITE	w8a8	Qualcomm® SA7255P	1.985 ms	0 - 23 MB	NPU
SESR-M5	TFLITE	w8a8	Qualcomm® SA8295P	1.35 ms	0 - 21 MB	NPU
SESR-M5	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.381 ms	0 - 23 MB	NPU
SESR-M5	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	0.789 ms	0 - 22 MB	NPU

License

• The license for the original implementation of SESR-M5 can be found here.

References

• Collapsible Linear Blocks for Super-Efficient Super Resolution
• 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.