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 2.42, ONNX Runtime 1.25.0	Download
ONNX	w8a16	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-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® 8 Elite Gen 5 Mobile	0.546 ms	1 - 44 MB	NPU
EfficientNet-B0	ONNX	float	Snapdragon® X2 Elite	0.669 ms	180 - 180 MB	NPU
EfficientNet-B0	ONNX	float	Snapdragon® X Elite	1.32 ms	149 - 149 MB	NPU
EfficientNet-B0	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.897 ms	0 - 72 MB	NPU
EfficientNet-B0	ONNX	float	Qualcomm® QCS8550 (Proxy)	1.272 ms	0 - 30 MB	NPU
EfficientNet-B0	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	0.696 ms	0 - 44 MB	NPU
EfficientNet-B0	ONNX	float	Qualcomm® QCS9075	1.643 ms	1 - 46 MB	NPU
EfficientNet-B0	ONNX	float	Qualcomm® QCS8750	0.696 ms	0 - 44 MB	NPU
EfficientNet-B0	ONNX	float	Qualcomm® QCS7181	1.32 ms	149 - 149 MB	NPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.557 ms	0 - 63 MB	NPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® X Elite	1.486 ms	149 - 149 MB	NPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	0.943 ms	0 - 88 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® QCS6490	108.051 ms	43 - 46 MB	CPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	1.424 ms	0 - 48 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® QCM6690	48.484 ms	42 - 52 MB	CPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	41.773 ms	50 - 59 MB	CPU
EfficientNet-B0	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.669 ms	0 - 63 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® QCS9075	1.637 ms	0 - 51 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® QCS7790	41.773 ms	50 - 59 MB	CPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® QCS8750	0.669 ms	0 - 63 MB	NPU
EfficientNet-B0	ONNX	w8a16	Qualcomm® QCS7181	1.486 ms	149 - 149 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.598 ms	1 - 42 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® X2 Elite	0.837 ms	1 - 1 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® X Elite	1.75 ms	1 - 1 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	1.072 ms	0 - 60 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® QCS8275	4.899 ms	1 - 36 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	1.558 ms	1 - 76 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® SA8775P	2.031 ms	1 - 41 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® SA8650P	2.031 ms	1 - 41 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® SA8255P	2.031 ms	1 - 41 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	3.607 ms	0 - 75 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® SA7255P	4.899 ms	1 - 36 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® SA8295P	3.604 ms	1 - 44 MB	NPU
EfficientNet-B0	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	0.805 ms	1 - 36 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® QCS9075	1.884 ms	1 - 3 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® QCS8750	0.805 ms	1 - 36 MB	NPU
EfficientNet-B0	QNN_DLC	float	Qualcomm® QCS7181	1.75 ms	1 - 1 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.632 ms	0 - 51 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® X2 Elite	0.814 ms	0 - 0 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® X Elite	1.871 ms	0 - 0 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	1.115 ms	0 - 66 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® QCS6490	4.124 ms	0 - 2 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® QCS8275	3.262 ms	0 - 47 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	1.678 ms	0 - 16 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® SA8775P	1.952 ms	0 - 51 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® SA8650P	1.952 ms	0 - 51 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® SA8255P	1.952 ms	0 - 51 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® QCM6690	6.526 ms	0 - 164 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® SA7255P	3.262 ms	0 - 47 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	1.693 ms	0 - 49 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® SA8295P	2.341 ms	0 - 46 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.775 ms	0 - 52 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® QCS9075	1.855 ms	0 - 2 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® QCS8450 (Proxy)	1.974 ms	0 - 67 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® QCS7790	1.693 ms	0 - 49 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® QCS8750	0.775 ms	0 - 52 MB	NPU
EfficientNet-B0	QNN_DLC	w8a16	Qualcomm® QCS7181	1.871 ms	0 - 0 MB	NPU
EfficientNet-B0	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.598 ms	0 - 46 MB	NPU
EfficientNet-B0	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	1.062 ms	0 - 66 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® QCS8275	4.933 ms	0 - 41 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® QCS8550 (Proxy)	1.534 ms	0 - 2 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® SA8775P	2.05 ms	0 - 46 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® SA8650P	2.05 ms	0 - 46 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® SA8255P	2.05 ms	0 - 46 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® QCS8450 (Proxy)	3.623 ms	0 - 75 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® SA7255P	4.933 ms	0 - 41 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® SA8295P	3.637 ms	0 - 48 MB	NPU
EfficientNet-B0	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	0.815 ms	0 - 41 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® QCS9075	1.892 ms	0 - 16 MB	NPU
EfficientNet-B0	TFLITE	float	Qualcomm® QCS8750	0.815 ms	0 - 41 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