MNASNet05: Optimized for Qualcomm Devices

MNASNet05 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 MNASNet05 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 MNASNet05 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 MNASNet05 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: 2.21M
• Model size (float): 8.45 MB
• Model size (w8a16): 2.79 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
MNASNet05	ONNX	float	Snapdragon® X2 Elite	0.229 ms	2 - 2 MB	NPU
MNASNet05	ONNX	float	Snapdragon® X Elite	0.493 ms	5 - 5 MB	NPU
MNASNet05	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.328 ms	0 - 47 MB	NPU
MNASNet05	ONNX	float	Snapdragon® 8 Gen 1 Mobile	0.873 ms	1 - 52 MB	NPU
MNASNet05	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.49 ms	0 - 7 MB	NPU
MNASNet05	ONNX	float	Qualcomm® QCS8450	0.873 ms	1 - 52 MB	NPU
MNASNet05	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	0.751 ms	1 - 3 MB	NPU
MNASNet05	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	0.493 ms	5 - 5 MB	NPU
MNASNet05	ONNX	float	Qualcomm® Dragonwing™ Q-8750	0.266 ms	0 - 31 MB	NPU
MNASNet05	ONNX	float	Snapdragon® 8 Elite Mobile	0.266 ms	0 - 31 MB	NPU
MNASNet05	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.232 ms	0 - 28 MB	NPU
MNASNet05	ONNX	w8a16	Snapdragon® X2 Elite	0.22 ms	1 - 1 MB	NPU
MNASNet05	ONNX	w8a16	Snapdragon® X Elite	0.516 ms	0 - 0 MB	NPU
MNASNet05	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	0.341 ms	0 - 43 MB	NPU
MNASNet05	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	0.676 ms	0 - 48 MB	NPU
MNASNet05	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	2.134 ms	0 - 3 MB	NPU
MNASNet05	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.511 ms	0 - 5 MB	NPU
MNASNet05	ONNX	w8a16	Qualcomm® QCS8450	0.676 ms	0 - 48 MB	NPU
MNASNet05	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	0.656 ms	0 - 3 MB	NPU
MNASNet05	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	0.516 ms	0 - 0 MB	NPU
MNASNet05	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	0.26 ms	0 - 35 MB	NPU
MNASNet05	ONNX	w8a16	Snapdragon® 8 Elite Mobile	0.26 ms	0 - 35 MB	NPU
MNASNet05	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.221 ms	0 - 31 MB	NPU
MNASNet05	QNN_DLC	float	Snapdragon® X2 Elite	0.417 ms	1 - 1 MB	NPU
MNASNet05	QNN_DLC	float	Snapdragon® X Elite	0.919 ms	1 - 1 MB	NPU
MNASNet05	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	0.509 ms	0 - 45 MB	NPU
MNASNet05	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	1.562 ms	0 - 52 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8275	2.301 ms	1 - 28 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.788 ms	1 - 7 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® SA8775P	1.102 ms	0 - 30 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® SA8650P	1.102 ms	0 - 30 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® SA8255P	1.102 ms	0 - 30 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® QCS8450	1.562 ms	0 - 52 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	0.981 ms	1 - 3 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	0.919 ms	1 - 1 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	0.385 ms	1 - 34 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® SA7255P	2.301 ms	1 - 28 MB	NPU
MNASNet05	QNN_DLC	float	Qualcomm® SA8295P	1.42 ms	0 - 28 MB	NPU
MNASNet05	QNN_DLC	float	Snapdragon® 8 Elite Mobile	0.385 ms	1 - 34 MB	NPU
MNASNet05	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.293 ms	0 - 29 MB	NPU
MNASNet05	QNN_DLC	w8a16	Snapdragon® X2 Elite	0.396 ms	0 - 0 MB	NPU
MNASNet05	QNN_DLC	w8a16	Snapdragon® X Elite	0.89 ms	0 - 0 MB	NPU
MNASNet05	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	0.529 ms	0 - 39 MB	NPU
MNASNet05	QNN_DLC	w8a16	Snapdragon® 8 Gen 1 Mobile	0.954 ms	0 - 44 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS6490	2.721 ms	0 - 2 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8275	1.654 ms	0 - 28 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.767 ms	0 - 2 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® SA8775P	0.956 ms	0 - 30 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® SA8650P	0.956 ms	0 - 30 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® SA8255P	0.956 ms	0 - 30 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® QCS8450	0.954 ms	0 - 44 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-9075	0.867 ms	0 - 2 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-X7181	0.89 ms	0 - 0 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-6690	3.05 ms	0 - 140 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-7790	0.789 ms	0 - 27 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-8750	0.353 ms	0 - 27 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® SA7255P	1.654 ms	0 - 28 MB	NPU
MNASNet05	QNN_DLC	w8a16	Qualcomm® SA8295P	1.224 ms	0 - 26 MB	NPU
MNASNet05	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	0.353 ms	0 - 27 MB	NPU
MNASNet05	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	0.304 ms	0 - 28 MB	NPU
MNASNet05	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	0.789 ms	0 - 27 MB	NPU
MNASNet05	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	0.526 ms	0 - 45 MB	NPU
MNASNet05	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	1.573 ms	0 - 53 MB	NPU
MNASNet05	TFLITE	float	Qualcomm® Dragonwing™ QCS8275	2.332 ms	0 - 28 MB	NPU
MNASNet05	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.8 ms	0 - 1 MB	NPU
MNASNet05	TFLITE	float	Qualcomm® SA8775P	1.124 ms	0 - 31 MB	NPU
MNASNet05	TFLITE	float	Qualcomm® SA8650P	1.124 ms	0 - 31 MB	NPU
MNASNet05	TFLITE	float	Qualcomm® SA8255P	1.124 ms	0 - 31 MB	NPU
MNASNet05	TFLITE	float	Qualcomm® QCS8450	1.573 ms	0 - 53 MB	NPU
MNASNet05	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	0.986 ms	0 - 8 MB	NPU
MNASNet05	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	0.382 ms	0 - 32 MB	NPU
MNASNet05	TFLITE	float	Qualcomm® SA7255P	2.332 ms	0 - 28 MB	NPU
MNASNet05	TFLITE	float	Qualcomm® SA8295P	1.446 ms	0 - 28 MB	NPU
MNASNet05	TFLITE	float	Snapdragon® 8 Elite Mobile	0.382 ms	0 - 32 MB	NPU
MNASNet05	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.299 ms	0 - 30 MB	NPU

License

• The license for the original implementation of MNASNet05 can be found here.

References

• MnasNet: Platform-Aware Neural Architecture Search for Mobile
• 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.