ConvNext-Base: Optimized for Qualcomm Devices

ConvNextBase 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 ConvNext-Base 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 ConvNext-Base 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 ConvNext-Base 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: 88.6M
• Model size (float): 338 MB
• Model size (w8a16): 88.7 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
ConvNext-Base	ONNX	float	Snapdragon® X2 Elite	3.491 ms	2 - 2 MB	NPU
ConvNext-Base	ONNX	float	Snapdragon® X Elite	7.229 ms	176 - 176 MB	NPU
ConvNext-Base	ONNX	float	Snapdragon® 8 Gen 3 Mobile	5.308 ms	1 - 313 MB	NPU
ConvNext-Base	ONNX	float	Snapdragon® 8 Gen 1 Mobile	19.187 ms	1 - 301 MB	NPU
ConvNext-Base	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	7.145 ms	0 - 194 MB	NPU
ConvNext-Base	ONNX	float	Qualcomm® QCS8450	19.187 ms	1 - 301 MB	NPU
ConvNext-Base	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	10.748 ms	0 - 4 MB	NPU
ConvNext-Base	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	7.229 ms	176 - 176 MB	NPU
ConvNext-Base	ONNX	float	Qualcomm® Dragonwing™ Q-8750	4.122 ms	0 - 184 MB	NPU
ConvNext-Base	ONNX	float	Snapdragon® 8 Elite Mobile	4.122 ms	0 - 184 MB	NPU
ConvNext-Base	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	3.201 ms	0 - 185 MB	NPU
ConvNext-Base	ONNX	w8a16	Snapdragon® X2 Elite	2.383 ms	1 - 1 MB	NPU
ConvNext-Base	ONNX	w8a16	Snapdragon® X Elite	4.973 ms	90 - 90 MB	NPU
ConvNext-Base	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	3.455 ms	0 - 263 MB	NPU
ConvNext-Base	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	8.154 ms	0 - 262 MB	NPU
ConvNext-Base	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	32.943 ms	0 - 3 MB	NPU
ConvNext-Base	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	4.865 ms	0 - 100 MB	NPU
ConvNext-Base	ONNX	w8a16	Qualcomm® QCS8450	8.154 ms	0 - 262 MB	NPU
ConvNext-Base	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	4.866 ms	0 - 3 MB	NPU
ConvNext-Base	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	4.973 ms	90 - 90 MB	NPU
ConvNext-Base	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	2.773 ms	0 - 206 MB	NPU
ConvNext-Base	ONNX	w8a16	Snapdragon® 8 Elite Mobile	2.773 ms	0 - 206 MB	NPU
ConvNext-Base	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	2.171 ms	0 - 226 MB	NPU
ConvNext-Base	QNN_DLC	float	Snapdragon® X2 Elite	4.309 ms	1 - 1 MB	NPU
ConvNext-Base	QNN_DLC	float	Snapdragon® X Elite	8.387 ms	1 - 1 MB	NPU
ConvNext-Base	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	5.842 ms	1 - 306 MB	NPU
ConvNext-Base	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	20.385 ms	0 - 295 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8275	41.888 ms	1 - 180 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	7.947 ms	1 - 361 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® SA8775P	11.826 ms	1 - 181 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® SA8650P	11.826 ms	1 - 181 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® SA8255P	11.826 ms	1 - 181 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® QCS8450	20.385 ms	0 - 295 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	11.529 ms	1 - 3 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	8.387 ms	1 - 1 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	4.542 ms	0 - 180 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® SA7255P	41.888 ms	1 - 180 MB	NPU
ConvNext-Base	QNN_DLC	float	Qualcomm® SA8295P	19.68 ms	1 - 171 MB	NPU
ConvNext-Base	QNN_DLC	float	Snapdragon® 8 Elite Mobile	4.542 ms	0 - 180 MB	NPU
ConvNext-Base	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	3.493 ms	1 - 187 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Snapdragon® X2 Elite	3.074 ms	0 - 0 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Snapdragon® X Elite	6.244 ms	0 - 0 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	4.081 ms	0 - 251 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Snapdragon® 8 Gen 1 Mobile	9.257 ms	0 - 250 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS6490	29.847 ms	0 - 2 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8275	14.615 ms	0 - 203 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	5.871 ms	0 - 2 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® SA8775P	6.194 ms	0 - 205 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® SA8650P	6.194 ms	0 - 205 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® SA8255P	6.194 ms	0 - 205 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® QCS8450	9.257 ms	0 - 250 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-9075	5.916 ms	0 - 2 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-X7181	6.244 ms	0 - 0 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-6690	71.178 ms	0 - 397 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-7790	7.723 ms	0 - 253 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-8750	3.267 ms	0 - 195 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® SA7255P	14.615 ms	0 - 203 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Qualcomm® SA8295P	9.393 ms	0 - 204 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	3.267 ms	0 - 195 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	2.568 ms	0 - 217 MB	NPU
ConvNext-Base	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	7.723 ms	0 - 253 MB	NPU
ConvNext-Base	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	5.456 ms	0 - 304 MB	NPU
ConvNext-Base	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	19.709 ms	0 - 290 MB	NPU
ConvNext-Base	TFLITE	float	Qualcomm® Dragonwing™ QCS8275	40.977 ms	0 - 175 MB	NPU
ConvNext-Base	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	7.255 ms	0 - 2 MB	NPU
ConvNext-Base	TFLITE	float	Qualcomm® SA8775P	11.062 ms	0 - 176 MB	NPU
ConvNext-Base	TFLITE	float	Qualcomm® SA8650P	11.062 ms	0 - 176 MB	NPU
ConvNext-Base	TFLITE	float	Qualcomm® SA8255P	11.062 ms	0 - 176 MB	NPU
ConvNext-Base	TFLITE	float	Qualcomm® QCS8450	19.709 ms	0 - 290 MB	NPU
ConvNext-Base	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	11.72 ms	0 - 177 MB	NPU
ConvNext-Base	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	4.096 ms	0 - 178 MB	NPU
ConvNext-Base	TFLITE	float	Qualcomm® SA7255P	40.977 ms	0 - 175 MB	NPU
ConvNext-Base	TFLITE	float	Qualcomm® SA8295P	18.786 ms	0 - 161 MB	NPU
ConvNext-Base	TFLITE	float	Snapdragon® 8 Elite Mobile	4.096 ms	0 - 178 MB	NPU
ConvNext-Base	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	3.216 ms	0 - 180 MB	NPU

License

• The license for the original implementation of ConvNext-Base can be found here.

References

• A ConvNet for the 2020s
• 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.