EfficientNet-B0: Optimized for Qualcomm Devices

EfficientNetB0 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-B0 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-B0 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-B0 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: 5.27M
Model size (float): 20.1 MB
Model size (w8a16): 6.99 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
EfficientNet-B0	ONNX	float	Snapdragon® X2 Elite	0.652 ms	2 - 2 MB	NPU
EfficientNet-B0	ONNX	float	Snapdragon® X Elite	1.306 ms	14 - 14 MB	NPU
EfficientNet-B0	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.898 ms	0 - 65 MB	NPU
EfficientNet-B0	ONNX	float	Snapdragon® 8 Gen 1 Mobile	2.873 ms	1 - 77 MB	NPU
EfficientNet-B0	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.28 ms	0 - 17 MB	NPU
EfficientNet-B0	ONNX	float	Qualcomm® QCS8450	2.873 ms	1 - 77 MB	NPU
EfficientNet-B0	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	1.622 ms	1 - 3 MB	NPU
EfficientNet-B0	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	1.306 ms	14 - 14 MB	NPU
EfficientNet-B0	ONNX	float	Qualcomm® Dragonwing™ Q-8750	0.697 ms	0 - 42 MB	NPU
EfficientNet-B0	ONNX	float	Snapdragon® 8 Elite Mobile	0.697 ms	0 - 42 MB	NPU
EfficientNet-B0	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.546 ms	0 - 43 MB	NPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® X2 Elite	0.567 ms	1 - 1 MB	NPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® X Elite	1.485 ms	6 - 6 MB	NPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	0.939 ms	0 - 83 MB	NPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	1.663 ms	0 - 83 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	3.737 ms	0 - 3 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.422 ms	0 - 10 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® QCS8450	1.663 ms	0 - 83 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	1.789 ms	0 - 3 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	1.485 ms	6 - 6 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	0.668 ms	0 - 64 MB	NPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® 8 Elite Mobile	0.668 ms	0 - 64 MB	NPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.554 ms	0 - 63 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® X2 Elite	0.84 ms	1 - 1 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® X Elite	1.783 ms	1 - 1 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	1.074 ms	0 - 64 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	3.593 ms	0 - 73 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8275	4.925 ms	1 - 37 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.558 ms	1 - 2 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® SA8775P	2.012 ms	1 - 40 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® SA8650P	2.012 ms	1 - 40 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® SA8255P	2.012 ms	1 - 40 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® QCS8450	3.593 ms	0 - 73 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	2.338 ms	1 - 3 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	1.783 ms	1 - 1 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	0.805 ms	1 - 37 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® SA7255P	4.925 ms	1 - 37 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® SA8295P	3.615 ms	0 - 44 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® 8 Elite Mobile	0.805 ms	1 - 37 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.611 ms	1 - 38 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® X2 Elite	0.795 ms	0 - 0 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® X Elite	1.862 ms	0 - 0 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	1.132 ms	0 - 65 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® 8 Gen 1 Mobile	1.973 ms	0 - 70 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS6490	5.122 ms	0 - 2 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8275	3.303 ms	0 - 48 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.676 ms	0 - 43 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® SA8775P	1.951 ms	0 - 51 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® SA8650P	1.951 ms	0 - 51 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® SA8255P	1.951 ms	0 - 51 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® QCS8450	1.973 ms	0 - 70 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-9075	1.783 ms	2 - 4 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-X7181	1.862 ms	0 - 0 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-6690	6.526 ms	0 - 168 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-7790	1.712 ms	0 - 48 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-8750	0.776 ms	0 - 52 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® SA7255P	3.303 ms	0 - 48 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® SA8295P	2.364 ms	0 - 46 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	0.776 ms	0 - 52 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.644 ms	0 - 52 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	1.712 ms	0 - 48 MB	NPU
EfficientNet-B0	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	1.071 ms	0 - 66 MB	NPU
EfficientNet-B0	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	3.605 ms	0 - 81 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® Dragonwing™ QCS8275	4.931 ms	0 - 41 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	1.533 ms	0 - 2 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® SA8775P	2.05 ms	0 - 45 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® SA8650P	2.05 ms	0 - 45 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® SA8255P	2.05 ms	0 - 45 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® QCS8450	3.605 ms	0 - 81 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	1.887 ms	0 - 16 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	0.815 ms	0 - 41 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® SA7255P	4.931 ms	0 - 41 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® SA8295P	3.613 ms	0 - 48 MB	NPU
EfficientNet-B0	TFLITE	float	Snapdragon® 8 Elite Mobile	0.815 ms	0 - 41 MB	NPU
EfficientNet-B0	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.612 ms	0 - 42 MB	NPU

License

The license for the original implementation of EfficientNet-B0 can be found here.

References

Community

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Paper for qualcomm/EfficientNet-B0

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 4