EfficientNet-B4: Optimized for Qualcomm Devices

EfficientNetB4 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 EfficientNet-B4 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 2.45, ONNX Runtime 1.27.1	Download
ONNX	w8a16	Universal	QAIRT 2.45, ONNX Runtime 1.27.1	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
QNN_DLC	w8a16	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download

For more device-specific assets and performance metrics, visit EfficientNet-B4 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 EfficientNet-B4 on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.image_classification

Model Stats:

Model checkpoint: Imagenet
Input resolution: 380x380
Number of parameters: 19.3M
Model size (float): 73.6 MB
Model size (w8a16): 24.0 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
EfficientNet-B4	ONNX	float	Snapdragon® X2 Elite	3.918 ms	2 - 2 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® X Elite	7.724 ms	45 - 45 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® 8 Gen 3 Mobile	5.31 ms	2 - 149 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® 8 Gen 1 Mobile	20.504 ms	0 - 187 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	7.341 ms	0 - 218 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® QCS8450	20.504 ms	0 - 187 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	9.342 ms	1 - 6 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	7.724 ms	45 - 45 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® Dragonwing™ Q-8750	4.052 ms	0 - 89 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® 8 Elite Mobile	4.052 ms	0 - 89 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	3.113 ms	0 - 205 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® X2 Elite	2.917 ms	2 - 2 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® X Elite	8.032 ms	23 - 23 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	5.079 ms	1 - 226 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	8.907 ms	0 - 227 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	33.142 ms	0 - 4 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	7.615 ms	0 - 30 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® QCS8450	8.907 ms	0 - 227 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	7.96 ms	1 - 4 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	8.032 ms	23 - 23 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	3.413 ms	0 - 170 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® 8 Elite Mobile	3.413 ms	0 - 170 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	2.75 ms	0 - 178 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® X2 Elite	4.558 ms	2 - 2 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® X Elite	8.862 ms	2 - 2 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	5.807 ms	0 - 142 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	23.025 ms	2 - 187 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8275	29.127 ms	2 - 82 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	8.151 ms	2 - 165 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8775P	10.296 ms	2 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8650P	10.296 ms	2 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8255P	10.296 ms	2 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® QCS8450	23.025 ms	2 - 187 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	10.032 ms	4 - 7 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	8.862 ms	2 - 2 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	4.302 ms	2 - 89 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA7255P	29.127 ms	2 - 82 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8295P	18.782 ms	2 - 123 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Elite Mobile	4.302 ms	2 - 89 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	3.356 ms	2 - 208 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® X2 Elite	3.553 ms	1 - 1 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® X Elite	9.1 ms	1 - 1 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	5.63 ms	1 - 197 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Gen 1 Mobile	11.375 ms	1 - 201 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS6490	33.639 ms	3 - 5 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8275	15.405 ms	1 - 141 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	8.363 ms	1 - 212 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8775P	8.902 ms	1 - 143 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8650P	8.902 ms	1 - 143 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8255P	8.902 ms	1 - 143 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS8450	11.375 ms	1 - 201 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-9075	8.648 ms	1 - 3 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-X7181	9.1 ms	1 - 1 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-6690	48.82 ms	1 - 275 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-7790	9.736 ms	1 - 269 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-8750	3.704 ms	0 - 145 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA7255P	15.405 ms	1 - 141 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8295P	10.916 ms	1 - 143 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	3.704 ms	0 - 145 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	3.012 ms	1 - 156 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	9.736 ms	1 - 269 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	5.754 ms	0 - 163 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	21.764 ms	0 - 203 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® Dragonwing™ QCS8275	28.922 ms	0 - 97 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	8.016 ms	0 - 2 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8775P	10.288 ms	0 - 100 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8650P	10.288 ms	0 - 100 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8255P	10.288 ms	0 - 100 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® QCS8450	21.764 ms	0 - 203 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	9.989 ms	0 - 49 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	4.317 ms	0 - 104 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA7255P	28.922 ms	0 - 97 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8295P	18.851 ms	0 - 139 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Elite Mobile	4.317 ms	0 - 104 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	3.216 ms	0 - 98 MB	NPU

License

The license for the original implementation of EfficientNet-B4 can be found here.

References

Community

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Paper for qualcomm/EfficientNet-B4

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 4