RegNet: Optimized for Qualcomm Devices

RegNet is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.

This is based on the implementation of RegNet 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 1.24.1	Download
ONNX	w8a8	Universal	QAIRT 2.42, ONNX Runtime 1.24.1	Download
QNN_DLC	float	Universal	QAIRT 2.43	Download
QNN_DLC	w8a8	Universal	QAIRT 2.43	Download
TFLITE	float	Universal	QAIRT 2.43, TFLite 2.17.0	Download
TFLITE	w8a8	Universal	QAIRT 2.43, TFLite 2.17.0	Download

For more device-specific assets and performance metrics, visit RegNet 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 RegNet on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.image_classification

Model Stats:

• Model checkpoint: Imagenet
• Input resolution: 224x224
• Number of parameters: 15.3M
• Model size (float): 58.3 MB
• Model size (w8a8): 15.4 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
RegNet	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.839 ms	1 - 88 MB	NPU
RegNet	ONNX	float	Snapdragon® X2 Elite	0.904 ms	39 - 39 MB	NPU
RegNet	ONNX	float	Snapdragon® X Elite	1.957 ms	39 - 39 MB	NPU
RegNet	ONNX	float	Snapdragon® 8 Gen 3 Mobile	1.246 ms	0 - 136 MB	NPU
RegNet	ONNX	float	Qualcomm® QCS8550 (Proxy)	1.749 ms	0 - 44 MB	NPU
RegNet	ONNX	float	Qualcomm® QCS9075	2.849 ms	1 - 4 MB	NPU
RegNet	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	1.0 ms	0 - 85 MB	NPU
RegNet	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.504 ms	0 - 89 MB	NPU
RegNet	ONNX	w8a8	Snapdragon® X2 Elite	0.502 ms	20 - 20 MB	NPU
RegNet	ONNX	w8a8	Snapdragon® X Elite	1.123 ms	20 - 20 MB	NPU
RegNet	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	0.654 ms	0 - 135 MB	NPU
RegNet	ONNX	w8a8	Qualcomm® QCS6490	27.965 ms	9 - 19 MB	CPU
RegNet	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	0.901 ms	0 - 28 MB	NPU
RegNet	ONNX	w8a8	Qualcomm® QCS9075	1.076 ms	0 - 3 MB	NPU
RegNet	ONNX	w8a8	Qualcomm® QCM6690	17.962 ms	8 - 17 MB	CPU
RegNet	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.554 ms	0 - 89 MB	NPU
RegNet	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	13.724 ms	8 - 18 MB	CPU
RegNet	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.899 ms	1 - 81 MB	NPU
RegNet	QNN_DLC	float	Snapdragon® X2 Elite	1.231 ms	1 - 1 MB	NPU
RegNet	QNN_DLC	float	Snapdragon® X Elite	2.317 ms	1 - 1 MB	NPU
RegNet	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	1.426 ms	0 - 128 MB	NPU
RegNet	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	9.898 ms	1 - 76 MB	NPU
RegNet	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	2.073 ms	1 - 161 MB	NPU
RegNet	QNN_DLC	float	Qualcomm® SA8775P	3.305 ms	1 - 79 MB	NPU
RegNet	QNN_DLC	float	Qualcomm® QCS9075	3.071 ms	1 - 3 MB	NPU
RegNet	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	3.536 ms	0 - 115 MB	NPU
RegNet	QNN_DLC	float	Qualcomm® SA7255P	9.898 ms	1 - 76 MB	NPU
RegNet	QNN_DLC	float	Qualcomm® SA8295P	3.496 ms	0 - 65 MB	NPU
RegNet	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	1.118 ms	0 - 77 MB	NPU
RegNet	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.44 ms	0 - 80 MB	NPU
RegNet	QNN_DLC	w8a8	Snapdragon® X2 Elite	0.625 ms	0 - 0 MB	NPU
RegNet	QNN_DLC	w8a8	Snapdragon® X Elite	1.077 ms	0 - 0 MB	NPU
RegNet	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	0.63 ms	0 - 108 MB	NPU
RegNet	QNN_DLC	w8a8	Qualcomm® QCS6490	2.699 ms	0 - 2 MB	NPU
RegNet	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	2.263 ms	0 - 76 MB	NPU
RegNet	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	0.893 ms	0 - 2 MB	NPU
RegNet	QNN_DLC	w8a8	Qualcomm® SA8775P	1.32 ms	0 - 79 MB	NPU
RegNet	QNN_DLC	w8a8	Qualcomm® QCS9075	1.084 ms	2 - 4 MB	NPU
RegNet	QNN_DLC	w8a8	Qualcomm® QCM6690	7.108 ms	0 - 195 MB	NPU
RegNet	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	1.293 ms	0 - 110 MB	NPU
RegNet	QNN_DLC	w8a8	Qualcomm® SA7255P	2.263 ms	0 - 76 MB	NPU
RegNet	QNN_DLC	w8a8	Qualcomm® SA8295P	1.608 ms	0 - 75 MB	NPU
RegNet	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.497 ms	0 - 79 MB	NPU
RegNet	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	1.171 ms	0 - 77 MB	NPU
RegNet	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.9 ms	0 - 105 MB	NPU
RegNet	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	1.396 ms	0 - 156 MB	NPU
RegNet	TFLITE	float	Qualcomm® QCS8275 (Proxy)	9.871 ms	0 - 100 MB	NPU
RegNet	TFLITE	float	Qualcomm® QCS8550 (Proxy)	2.092 ms	0 - 3 MB	NPU
RegNet	TFLITE	float	Qualcomm® SA8775P	3.376 ms	0 - 103 MB	NPU
RegNet	TFLITE	float	Qualcomm® QCS9075	3.054 ms	0 - 42 MB	NPU
RegNet	TFLITE	float	Qualcomm® QCS8450 (Proxy)	3.455 ms	0 - 143 MB	NPU
RegNet	TFLITE	float	Qualcomm® SA7255P	9.871 ms	0 - 100 MB	NPU
RegNet	TFLITE	float	Qualcomm® SA8295P	3.5 ms	0 - 83 MB	NPU
RegNet	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	1.109 ms	0 - 102 MB	NPU
RegNet	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	0.384 ms	0 - 78 MB	NPU
RegNet	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	0.516 ms	0 - 111 MB	NPU
RegNet	TFLITE	w8a8	Qualcomm® QCS6490	2.326 ms	0 - 21 MB	NPU
RegNet	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	1.984 ms	0 - 74 MB	NPU
RegNet	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	0.726 ms	0 - 3 MB	NPU
RegNet	TFLITE	w8a8	Qualcomm® SA8775P	1.139 ms	0 - 77 MB	NPU
RegNet	TFLITE	w8a8	Qualcomm® QCS9075	0.892 ms	0 - 22 MB	NPU
RegNet	TFLITE	w8a8	Qualcomm® QCM6690	6.661 ms	0 - 190 MB	NPU
RegNet	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	1.131 ms	0 - 116 MB	NPU
RegNet	TFLITE	w8a8	Qualcomm® SA7255P	1.984 ms	0 - 74 MB	NPU
RegNet	TFLITE	w8a8	Qualcomm® SA8295P	1.414 ms	0 - 71 MB	NPU
RegNet	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	0.436 ms	0 - 70 MB	NPU
RegNet	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	0.991 ms	0 - 71 MB	NPU

License

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

References

• Designing Network Design Spaces
• 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.