MobileNet-v3-Small: Optimized for Qualcomm Devices

MobileNetV3Small 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 MobileNet-v3-Small 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 1.24.3	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 MobileNet-v3-Small 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 MobileNet-v3-Small 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: 2.54M
• Model size (float): 9.71 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
MobileNet-v3-Small	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.243 ms	0 - 33 MB	NPU
MobileNet-v3-Small	ONNX	float	Snapdragon® X2 Elite	0.25 ms	5 - 5 MB	NPU
MobileNet-v3-Small	ONNX	float	Snapdragon® X Elite	0.685 ms	5 - 5 MB	NPU
MobileNet-v3-Small	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.353 ms	0 - 45 MB	NPU
MobileNet-v3-Small	ONNX	float	Qualcomm® QCS8550 (Proxy)	0.55 ms	1 - 79 MB	NPU
MobileNet-v3-Small	ONNX	float	Qualcomm® QCS9075	0.766 ms	1 - 3 MB	NPU
MobileNet-v3-Small	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	0.292 ms	0 - 28 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.319 ms	1 - 33 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Snapdragon® X2 Elite	0.457 ms	1 - 1 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Snapdragon® X Elite	0.992 ms	1 - 1 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	0.547 ms	0 - 43 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	2.054 ms	1 - 29 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	0.831 ms	1 - 65 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Qualcomm® SA8775P	1.09 ms	1 - 31 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Qualcomm® QCS9075	0.984 ms	1 - 3 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	1.576 ms	0 - 46 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Qualcomm® SA7255P	2.054 ms	1 - 29 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Qualcomm® SA8295P	1.444 ms	0 - 29 MB	NPU
MobileNet-v3-Small	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	0.412 ms	0 - 29 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.3 ms	0 - 29 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Snapdragon® X2 Elite	0.428 ms	0 - 0 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Snapdragon® X Elite	0.933 ms	0 - 0 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	0.552 ms	0 - 37 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Qualcomm® QCS6490	2.226 ms	0 - 2 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	1.708 ms	0 - 26 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	0.796 ms	0 - 2 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Qualcomm® SA8775P	0.989 ms	0 - 27 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Qualcomm® QCS9075	0.945 ms	0 - 2 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Qualcomm® QCM6690	2.804 ms	0 - 144 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Qualcomm® QCS8450 (Proxy)	0.987 ms	0 - 40 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Qualcomm® SA7255P	1.708 ms	0 - 26 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Qualcomm® SA8295P	1.327 ms	0 - 24 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.37 ms	0 - 25 MB	NPU
MobileNet-v3-Small	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	0.799 ms	0 - 25 MB	NPU
MobileNet-v3-Small	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.319 ms	0 - 35 MB	NPU
MobileNet-v3-Small	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	0.558 ms	0 - 45 MB	NPU
MobileNet-v3-Small	TFLITE	float	Qualcomm® QCS8275 (Proxy)	2.168 ms	0 - 30 MB	NPU
MobileNet-v3-Small	TFLITE	float	Qualcomm® QCS8550 (Proxy)	0.833 ms	0 - 10 MB	NPU
MobileNet-v3-Small	TFLITE	float	Qualcomm® SA8775P	1.156 ms	0 - 32 MB	NPU
MobileNet-v3-Small	TFLITE	float	Qualcomm® QCS9075	1.014 ms	0 - 8 MB	NPU
MobileNet-v3-Small	TFLITE	float	Qualcomm® QCS8450 (Proxy)	1.596 ms	0 - 46 MB	NPU
MobileNet-v3-Small	TFLITE	float	Qualcomm® SA7255P	2.168 ms	0 - 30 MB	NPU
MobileNet-v3-Small	TFLITE	float	Qualcomm® SA8295P	1.49 ms	0 - 29 MB	NPU
MobileNet-v3-Small	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	0.424 ms	0 - 30 MB	NPU

License

• The license for the original implementation of MobileNet-v3-Small can be found here.

References

• Searching for MobileNetV3
• Source Model Implementation

Community

• Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
• For questions or feedback please reach out to us.