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 2.42, ONNX Runtime 1.25.0	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® 8 Elite Gen 5 Mobile	3.01 ms	1 - 209 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® X2 Elite	3.926 ms	210 - 210 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® X Elite	7.733 ms	147 - 147 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® 8 Gen 3 Mobile	5.346 ms	25 - 180 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® QCS8550 (Proxy)	7.374 ms	2 - 95 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	4.065 ms	0 - 93 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® QCS9075	10.766 ms	2 - 47 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® QCS8750	4.065 ms	0 - 93 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® QCS7181	7.733 ms	147 - 147 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	3.243 ms	2 - 205 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® X2 Elite	4.507 ms	2 - 2 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® X Elite	8.904 ms	2 - 2 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	5.813 ms	0 - 142 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® QCS8275	29.139 ms	2 - 81 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	8.122 ms	2 - 4 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8775P	10.306 ms	2 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8650P	10.306 ms	2 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8255P	10.306 ms	2 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	23.062 ms	0 - 185 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA7255P	29.139 ms	2 - 81 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8295P	18.807 ms	2 - 125 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	4.308 ms	0 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® QCS9075	12.186 ms	2 - 5 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® QCS8750	4.308 ms	0 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® QCS7181	8.904 ms	2 - 2 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	3.024 ms	1 - 155 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® X2 Elite	3.547 ms	1 - 1 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® X Elite	9.056 ms	1 - 1 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	5.67 ms	1 - 199 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS6490	22.892 ms	3 - 5 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS8275	15.515 ms	1 - 141 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	8.38 ms	1 - 3 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8775P	8.934 ms	1 - 144 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8650P	8.934 ms	1 - 144 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8255P	8.934 ms	1 - 144 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCM6690	47.264 ms	1 - 275 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA7255P	15.515 ms	1 - 141 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8295P	10.955 ms	1 - 143 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	9.702 ms	1 - 269 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	3.753 ms	1 - 146 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS9075	9.888 ms	0 - 3 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS8450 (Proxy)	11.26 ms	0 - 201 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS7790	9.702 ms	1 - 269 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS8750	3.753 ms	1 - 146 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS7181	9.056 ms	1 - 1 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	3.202 ms	0 - 102 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	5.749 ms	0 - 160 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® QCS8275	28.908 ms	0 - 97 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® QCS8550 (Proxy)	8.032 ms	0 - 2 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8775P	10.264 ms	0 - 99 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8650P	10.264 ms	0 - 99 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8255P	10.264 ms	0 - 99 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® QCS8450 (Proxy)	21.932 ms	0 - 202 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA7255P	28.908 ms	0 - 97 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8295P	18.861 ms	0 - 140 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	4.319 ms	0 - 105 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® QCS9075	10.99 ms	0 - 49 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® QCS8750	4.319 ms	0 - 105 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