MobileNet-v3-Large: Optimized for Qualcomm Devices

MobileNet-v3-Large 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-Large 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 2.37, ONNX Runtime 1.23.0	Download
ONNX	w8a16	Universal	QAIRT 2.37, ONNX Runtime 1.23.0	Download
QNN_DLC	float	Universal	QAIRT 2.42	Download
QNN_DLC	w8a16	Universal	QAIRT 2.42	Download
TFLITE	float	Universal	QAIRT 2.42, TFLite 2.17.0	Download

For more device-specific assets and performance metrics, visit MobileNet-v3-Large 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-Large 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: 5.47M
Model size (float): 20.9 MB
Model size (w8a16): 6.35 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
MobileNet-v3-Large	ONNX	float	Snapdragon® X Elite	0.826 ms	13 - 13 MB	NPU
MobileNet-v3-Large	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.682 ms	0 - 123 MB	NPU
MobileNet-v3-Large	ONNX	float	Qualcomm® QCS8550 (Proxy)	0.901 ms	0 - 25 MB	NPU
MobileNet-v3-Large	ONNX	float	Qualcomm® QCS9075	1.257 ms	1 - 3 MB	NPU
MobileNet-v3-Large	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	0.528 ms	0 - 103 MB	NPU
MobileNet-v3-Large	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.479 ms	0 - 104 MB	NPU
MobileNet-v3-Large	ONNX	w8a16	Snapdragon® X Elite	0.824 ms	6 - 6 MB	NPU
MobileNet-v3-Large	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	0.674 ms	0 - 127 MB	NPU
MobileNet-v3-Large	ONNX	w8a16	Qualcomm® QCS6490	55.392 ms	21 - 26 MB	CPU
MobileNet-v3-Large	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	0.918 ms	0 - 9 MB	NPU
MobileNet-v3-Large	ONNX	w8a16	Qualcomm® QCS9075	1.003 ms	0 - 3 MB	NPU
MobileNet-v3-Large	ONNX	w8a16	Qualcomm® QCM6690	30.839 ms	24 - 33 MB	CPU
MobileNet-v3-Large	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.483 ms	0 - 109 MB	NPU
MobileNet-v3-Large	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	21.181 ms	24 - 32 MB	CPU
MobileNet-v3-Large	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.397 ms	0 - 107 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Snapdragon® X Elite	1.183 ms	1 - 1 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	0.683 ms	0 - 54 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	2.975 ms	1 - 35 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	1.003 ms	1 - 2 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Qualcomm® SA8775P	1.346 ms	1 - 37 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Qualcomm® QCS9075	1.227 ms	1 - 3 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	1.924 ms	0 - 58 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Qualcomm® SA7255P	2.975 ms	1 - 35 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Qualcomm® SA8295P	1.823 ms	0 - 35 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	0.523 ms	0 - 39 MB	NPU
MobileNet-v3-Large	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.424 ms	1 - 40 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Snapdragon® X Elite	1.115 ms	0 - 0 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	0.659 ms	0 - 47 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Qualcomm® QCS6490	2.7 ms	2 - 4 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	2.077 ms	0 - 34 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	0.941 ms	0 - 7 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Qualcomm® SA8775P	1.15 ms	0 - 35 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Qualcomm® QCS9075	1.163 ms	2 - 4 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Qualcomm® QCM6690	4.074 ms	0 - 146 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Qualcomm® QCS8450 (Proxy)	1.244 ms	0 - 52 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Qualcomm® SA7255P	2.077 ms	0 - 34 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Qualcomm® SA8295P	1.542 ms	0 - 31 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	0.456 ms	0 - 31 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	0.992 ms	0 - 31 MB	NPU
MobileNet-v3-Large	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.363 ms	0 - 35 MB	NPU
MobileNet-v3-Large	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	0.682 ms	0 - 61 MB	NPU
MobileNet-v3-Large	TFLITE	float	Qualcomm® QCS8275 (Proxy)	3.053 ms	0 - 40 MB	NPU
MobileNet-v3-Large	TFLITE	float	Qualcomm® QCS8550 (Proxy)	1.011 ms	0 - 2 MB	NPU
MobileNet-v3-Large	TFLITE	float	Qualcomm® SA8775P	1.384 ms	0 - 43 MB	NPU
MobileNet-v3-Large	TFLITE	float	Qualcomm® QCS9075	1.275 ms	0 - 15 MB	NPU
MobileNet-v3-Large	TFLITE	float	Qualcomm® QCS8450 (Proxy)	1.922 ms	0 - 64 MB	NPU
MobileNet-v3-Large	TFLITE	float	Qualcomm® SA7255P	3.053 ms	0 - 40 MB	NPU
MobileNet-v3-Large	TFLITE	float	Qualcomm® SA8295P	1.842 ms	0 - 40 MB	NPU
MobileNet-v3-Large	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	0.52 ms	0 - 40 MB	NPU
MobileNet-v3-Large	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.43 ms	0 - 45 MB	NPU

License

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

References

Community

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Paper for qualcomm/MobileNet-v3-Large

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Paper • 1905.02244 • Published May 6, 2019