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qualcomm/
Beit

Name: Beit
Rating: 2.5 (5 reviews)

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Beit: Optimized for Qualcomm Devices

Beit 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 Beit 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 Beit 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 Beit on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.image_classification

Model Stats:

Input resolution: 224x224
Model checkpoint: Imagenet
Model size (float): 351 MB
Number of parameters: 92.0M

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
Beit	ONNX	float	Snapdragon® X2 Elite	7.451 ms	2 - 2 MB	NPU
Beit	ONNX	float	Snapdragon® X Elite	15.395 ms	185 - 185 MB	NPU
Beit	ONNX	float	Snapdragon® 8 Gen 3 Mobile	10.475 ms	0 - 449 MB	NPU
Beit	ONNX	float	Snapdragon® 8 Gen 1 Mobile	17.996 ms	1 - 424 MB	NPU
Beit	ONNX	float	Qualcomm® Dragonwing™ IQ-8275	18.068 ms	0 - 4 MB	NPU
Beit	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	14.828 ms	0 - 224 MB	NPU
Beit	ONNX	float	Qualcomm® QCS8450	17.996 ms	1 - 424 MB	NPU
Beit	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	17.684 ms	1 - 4 MB	NPU
Beit	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	15.395 ms	185 - 185 MB	NPU
Beit	ONNX	float	Qualcomm® Dragonwing™ Q-8750	8.547 ms	1 - 307 MB	NPU
Beit	ONNX	float	Snapdragon® 8 Elite Mobile	8.547 ms	1 - 307 MB	NPU
Beit	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	7.166 ms	0 - 305 MB	NPU
Beit	ONNX	w8a16	Snapdragon® X2 Elite	3.338 ms	1 - 1 MB	NPU
Beit	ONNX	w8a16	Snapdragon® X Elite	6.903 ms	96 - 96 MB	NPU
Beit	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	4.605 ms	0 - 425 MB	NPU
Beit	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	11.13 ms	0 - 423 MB	NPU
Beit	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	36.083 ms	0 - 3 MB	NPU
Beit	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-8275	6.264 ms	0 - 4 MB	NPU
Beit	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	6.683 ms	0 - 4 MB	NPU
Beit	ONNX	w8a16	Qualcomm® QCS8450	11.13 ms	0 - 423 MB	NPU
Beit	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	6.631 ms	0 - 3 MB	NPU
Beit	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	6.903 ms	96 - 96 MB	NPU
Beit	ONNX	w8a16	Qualcomm® Dragonwing™ Q-6690	115.35 ms	0 - 441 MB	NPU
Beit	ONNX	w8a16	Qualcomm® Dragonwing™ Q-7790	9.044 ms	0 - 411 MB	NPU
Beit	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	3.585 ms	0 - 362 MB	NPU
Beit	ONNX	w8a16	Snapdragon® 8 Elite Mobile	3.585 ms	0 - 362 MB	NPU
Beit	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	2.399 ms	0 - 257 MB	NPU
Beit	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	9.044 ms	0 - 411 MB	NPU
Beit	QNN_DLC	float	Snapdragon® X2 Elite	7.856 ms	1 - 1 MB	NPU
Beit	QNN_DLC	float	Snapdragon® X Elite	15.237 ms	1 - 1 MB	NPU
Beit	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	10.518 ms	1 - 396 MB	NPU
Beit	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	17.494 ms	1 - 384 MB	NPU
Beit	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-8275	17.868 ms	1 - 4 MB	NPU
Beit	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-8275	47.959 ms	1 - 296 MB	NPU
Beit	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	14.363 ms	1 - 2 MB	NPU
Beit	QNN_DLC	float	Qualcomm® SA8775P	17.182 ms	1 - 296 MB	NPU
Beit	QNN_DLC	float	Qualcomm® SA8650P	17.182 ms	1 - 296 MB	NPU
Beit	QNN_DLC	float	Qualcomm® SA8255P	17.182 ms	1 - 296 MB	NPU
Beit	QNN_DLC	float	Qualcomm® QCS8450	17.494 ms	1 - 384 MB	NPU
Beit	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	17.393 ms	3 - 5 MB	NPU
Beit	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	15.237 ms	1 - 1 MB	NPU
Beit	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	8.501 ms	1 - 300 MB	NPU
Beit	QNN_DLC	float	Qualcomm® SA7255P	47.959 ms	1 - 296 MB	NPU
Beit	QNN_DLC	float	Qualcomm® SA8295P	15.269 ms	1 - 289 MB	NPU
Beit	QNN_DLC	float	Snapdragon® 8 Elite Mobile	8.501 ms	1 - 300 MB	NPU
Beit	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	7.185 ms	1 - 304 MB	NPU
Beit	QNN_DLC	w8a16	Snapdragon® X2 Elite	3.819 ms	0 - 0 MB	NPU
Beit	QNN_DLC	w8a16	Snapdragon® X Elite	7.346 ms	0 - 0 MB	NPU
Beit	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	4.677 ms	0 - 412 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-8275	6.279 ms	0 - 3 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-8275	15.092 ms	0 - 351 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	6.781 ms	0 - 3 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® SA8775P	7.069 ms	0 - 351 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® SA8650P	7.069 ms	0 - 351 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® SA8255P	7.069 ms	0 - 351 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-9075	6.875 ms	0 - 2 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-X7181	7.346 ms	0 - 0 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-6690	66.219 ms	0 - 428 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-7790	8.695 ms	0 - 395 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-8750	3.55 ms	0 - 351 MB	NPU
Beit	QNN_DLC	w8a16	Qualcomm® SA7255P	15.092 ms	0 - 351 MB	NPU
Beit	QNN_DLC	w8a16	Snapdragon® 8 Elite Mobile	3.55 ms	0 - 351 MB	NPU
Beit	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	2.551 ms	0 - 246 MB	NPU
Beit	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	8.695 ms	0 - 395 MB	NPU
Beit	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	10.539 ms	0 - 405 MB	NPU
Beit	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	17.577 ms	1 - 372 MB	NPU
Beit	TFLITE	float	Qualcomm® Dragonwing™ IQ-8275	17.878 ms	0 - 187 MB	NPU
Beit	TFLITE	float	Qualcomm® Dragonwing™ IQ-8275	48.032 ms	0 - 300 MB	NPU
Beit	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	14.017 ms	0 - 3 MB	NPU
Beit	TFLITE	float	Qualcomm® SA8775P	17.188 ms	0 - 302 MB	NPU
Beit	TFLITE	float	Qualcomm® SA8650P	17.188 ms	0 - 302 MB	NPU
Beit	TFLITE	float	Qualcomm® SA8255P	17.188 ms	0 - 302 MB	NPU
Beit	TFLITE	float	Qualcomm® QCS8450	17.577 ms	1 - 372 MB	NPU
Beit	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	17.104 ms	0 - 186 MB	NPU
Beit	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	8.548 ms	0 - 311 MB	NPU
Beit	TFLITE	float	Qualcomm® SA7255P	48.032 ms	0 - 300 MB	NPU
Beit	TFLITE	float	Qualcomm® SA8295P	15.341 ms	0 - 293 MB	NPU
Beit	TFLITE	float	Snapdragon® 8 Elite Mobile	8.548 ms	0 - 311 MB	NPU
Beit	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	7.181 ms	0 - 313 MB	NPU

License

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

References

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.

qualcomm/Beit