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 1.25.0	Download
ONNX	w8a16	Universal	QAIRT 2.45, 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® X2 Elite	3.918 ms	2 - 2 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® X Elite	7.732 ms	44 - 44 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® 8 Gen 3 Mobile	5.309 ms	0 - 147 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® 8 Gen 1 Mobile	20.415 ms	0 - 191 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	7.322 ms	0 - 49 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® QCS8450	20.415 ms	0 - 191 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	9.332 ms	1 - 6 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	3.114 ms	0 - 206 MB	NPU
EfficientNet-B4	ONNX	float	Snapdragon® 8 Elite Mobile	4.047 ms	0 - 88 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® Dragonwing™ Q-8750	4.047 ms	0 - 88 MB	NPU
EfficientNet-B4	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	7.732 ms	44 - 44 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® X2 Elite	2.951 ms	2 - 2 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® X Elite	8.021 ms	24 - 24 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	5.095 ms	1 - 226 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	8.918 ms	0 - 229 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	32.645 ms	0 - 4 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	7.637 ms	0 - 30 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® QCS8450	8.918 ms	0 - 229 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	7.997 ms	1 - 4 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	9.113 ms	1 - 289 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	2.771 ms	0 - 176 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ Q-6690	49.373 ms	1 - 297 MB	NPU
EfficientNet-B4	ONNX	w8a16	Snapdragon® 8 Elite Mobile	3.457 ms	0 - 167 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ Q-7790	9.113 ms	1 - 289 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	3.457 ms	0 - 167 MB	NPU
EfficientNet-B4	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	8.021 ms	24 - 24 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® X2 Elite	4.563 ms	2 - 2 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® X Elite	8.937 ms	2 - 2 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	5.802 ms	0 - 145 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	22.973 ms	2 - 187 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® QCS8275	29.123 ms	2 - 81 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	8.119 ms	2 - 162 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8775P	10.311 ms	2 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8650P	10.311 ms	2 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8255P	10.311 ms	2 - 85 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® QCS8450	22.973 ms	2 - 187 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	10.019 ms	4 - 7 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	3.351 ms	2 - 208 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA7255P	29.123 ms	2 - 81 MB	NPU
EfficientNet-B4	QNN_DLC	float	Snapdragon® 8 Elite Mobile	4.301 ms	0 - 87 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® SA8295P	18.789 ms	2 - 124 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	4.301 ms	0 - 87 MB	NPU
EfficientNet-B4	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	8.937 ms	2 - 2 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® X2 Elite	3.556 ms	1 - 1 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® X Elite	9.14 ms	1 - 1 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	5.659 ms	1 - 199 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Gen 1 Mobile	11.438 ms	1 - 202 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS6490	33.289 ms	3 - 5 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS8275	15.489 ms	1 - 142 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	8.387 ms	1 - 3 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8775P	8.975 ms	1 - 144 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8650P	8.975 ms	1 - 144 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8255P	8.975 ms	1 - 144 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® QCS8450	11.438 ms	1 - 202 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-9075	8.699 ms	3 - 5 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	9.751 ms	1 - 269 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	3.044 ms	1 - 154 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-6690	53.718 ms	1 - 275 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA7255P	15.489 ms	1 - 142 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	3.747 ms	0 - 145 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® SA8295P	10.967 ms	1 - 142 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-7790	9.751 ms	1 - 269 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-8750	3.747 ms	0 - 145 MB	NPU
EfficientNet-B4	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-X7181	9.14 ms	1 - 1 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	5.777 ms	0 - 162 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	21.925 ms	0 - 206 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® QCS8275	28.916 ms	0 - 97 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	8.019 ms	0 - 3 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8775P	10.279 ms	0 - 99 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8650P	10.279 ms	0 - 99 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8255P	10.279 ms	0 - 99 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® QCS8450	21.925 ms	0 - 206 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	9.996 ms	0 - 49 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	3.318 ms	0 - 98 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA7255P	28.916 ms	0 - 97 MB	NPU
EfficientNet-B4	TFLITE	float	Snapdragon® 8 Elite Mobile	4.313 ms	0 - 105 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® SA8295P	18.842 ms	0 - 140 MB	NPU
EfficientNet-B4	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	4.313 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