VIT: Optimized for Qualcomm Devices

VIT 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 VIT 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
ONNX	w8a16	Universal	QAIRT 2.42, ONNX Runtime 1.24.3	Download
ONNX	w8a8	Universal	QAIRT 2.42, ONNX Runtime 1.24.3	Download
ONNX	w8a8_mixed_int16	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
QNN_DLC	w8a8	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download
TFLITE	w8a8	Universal	QAIRT 2.45	Download

For more device-specific assets and performance metrics, visit VIT 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 VIT 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: 86.6M
Model size (float): 330 MB
Model size (w8a16): 86.2 MB
Model size (w8a8): 83.2 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
VIT	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	3.662 ms	0 - 354 MB	NPU
VIT	ONNX	float	Snapdragon® X2 Elite	3.873 ms	170 - 170 MB	NPU
VIT	ONNX	float	Snapdragon® X Elite	11.128 ms	170 - 170 MB	NPU
VIT	ONNX	float	Snapdragon® 8 Gen 3 Mobile	7.171 ms	0 - 377 MB	NPU
VIT	ONNX	float	Qualcomm® QCS8550 (Proxy)	10.454 ms	0 - 195 MB	NPU
VIT	ONNX	float	Qualcomm® QCS9075	14.697 ms	0 - 4 MB	NPU
VIT	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	4.99 ms	0 - 348 MB	NPU
VIT	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	3.775 ms	0 - 303 MB	NPU
VIT	ONNX	w8a16	Snapdragon® X2 Elite	3.902 ms	86 - 86 MB	NPU
VIT	ONNX	w8a16	Snapdragon® X Elite	11.253 ms	86 - 86 MB	NPU
VIT	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	7.363 ms	0 - 378 MB	NPU
VIT	ONNX	w8a16	Qualcomm® QCS6490	1117.068 ms	38 - 59 MB	CPU
VIT	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	10.668 ms	0 - 101 MB	NPU
VIT	ONNX	w8a16	Qualcomm® QCS9075	12.939 ms	0 - 3 MB	NPU
VIT	ONNX	w8a16	Qualcomm® QCM6690	611.108 ms	73 - 88 MB	CPU
VIT	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	5.314 ms	0 - 300 MB	NPU
VIT	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	593.078 ms	60 - 76 MB	CPU
VIT	ONNX	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	4.582 ms	0 - 351 MB	NPU
VIT	ONNX	w8a8	Snapdragon® X2 Elite	5.101 ms	85 - 85 MB	NPU
VIT	ONNX	w8a8	Snapdragon® X Elite	13.62 ms	85 - 85 MB	NPU
VIT	ONNX	w8a8	Snapdragon® 8 Gen 3 Mobile	8.792 ms	0 - 457 MB	NPU
VIT	ONNX	w8a8	Qualcomm® QCS6490	316.911 ms	21 - 74 MB	CPU
VIT	ONNX	w8a8	Qualcomm® QCS8550 (Proxy)	12.93 ms	0 - 100 MB	NPU
VIT	ONNX	w8a8	Qualcomm® QCS9075	13.549 ms	0 - 3 MB	NPU
VIT	ONNX	w8a8	Qualcomm® QCM6690	136.498 ms	21 - 42 MB	CPU
VIT	ONNX	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	7.243 ms	0 - 323 MB	NPU
VIT	ONNX	w8a8	Snapdragon® 7 Gen 4 Mobile	129.249 ms	22 - 43 MB	CPU
VIT	ONNX	w8a8_mixed_int16	Snapdragon® 8 Elite Gen 5 Mobile	62.922 ms	21 - 289 MB	NPU
VIT	ONNX	w8a8_mixed_int16	Snapdragon® X2 Elite	56.849 ms	79 - 79 MB	NPU
VIT	ONNX	w8a8_mixed_int16	Snapdragon® X Elite	160.029 ms	79 - 79 MB	NPU
VIT	ONNX	w8a8_mixed_int16	Snapdragon® 8 Gen 3 Mobile	85.742 ms	69 - 445 MB	NPU
VIT	ONNX	w8a8_mixed_int16	Qualcomm® QCS6490	733.594 ms	96 - 128 MB	CPU
VIT	ONNX	w8a8_mixed_int16	Qualcomm® QCS8550 (Proxy)	100.182 ms	9 - 95 MB	NPU
VIT	ONNX	w8a8_mixed_int16	Qualcomm® QCS9075	130.409 ms	68 - 70 MB	NPU
VIT	ONNX	w8a8_mixed_int16	Qualcomm® QCM6690	383.515 ms	99 - 121 MB	CPU
VIT	ONNX	w8a8_mixed_int16	Snapdragon® 8 Elite For Galaxy Mobile	72.88 ms	68 - 339 MB	NPU
VIT	ONNX	w8a8_mixed_int16	Snapdragon® 7 Gen 4 Mobile	373.213 ms	95 - 114 MB	CPU
VIT	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	4.094 ms	1 - 231 MB	NPU
VIT	QNN_DLC	float	Snapdragon® X2 Elite	4.45 ms	1 - 1 MB	NPU
VIT	QNN_DLC	float	Snapdragon® X Elite	11.889 ms	1 - 1 MB	NPU
VIT	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	7.675 ms	0 - 310 MB	NPU
VIT	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	40.628 ms	1 - 177 MB	NPU
VIT	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	11.19 ms	1 - 2 MB	NPU
VIT	QNN_DLC	float	Qualcomm® SA8775P	13.991 ms	1 - 213 MB	NPU
VIT	QNN_DLC	float	Qualcomm® QCS9075	15.487 ms	1 - 3 MB	NPU
VIT	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	19.142 ms	0 - 291 MB	NPU
VIT	QNN_DLC	float	Qualcomm® SA7255P	40.628 ms	1 - 177 MB	NPU
VIT	QNN_DLC	float	Qualcomm® SA8295P	17.287 ms	0 - 192 MB	NPU
VIT	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	5.381 ms	1 - 224 MB	NPU
VIT	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	3.374 ms	0 - 298 MB	NPU
VIT	QNN_DLC	w8a16	Snapdragon® X2 Elite	4.184 ms	0 - 0 MB	NPU
VIT	QNN_DLC	w8a16	Snapdragon® X Elite	9.853 ms	0 - 0 MB	NPU
VIT	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	6.444 ms	0 - 345 MB	NPU
VIT	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	20.24 ms	0 - 284 MB	NPU
VIT	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	9.034 ms	0 - 287 MB	NPU
VIT	QNN_DLC	w8a16	Qualcomm® SA8775P	9.402 ms	0 - 285 MB	NPU
VIT	QNN_DLC	w8a16	Qualcomm® QCS9075	11.506 ms	0 - 2 MB	NPU
VIT	QNN_DLC	w8a16	Qualcomm® QCM6690	87.029 ms	0 - 413 MB	NPU
VIT	QNN_DLC	w8a16	Qualcomm® SA7255P	20.24 ms	0 - 284 MB	NPU
VIT	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	4.758 ms	0 - 283 MB	NPU
VIT	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	15.216 ms	0 - 428 MB	NPU
VIT	QNN_DLC	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	3.706 ms	0 - 279 MB	NPU
VIT	QNN_DLC	w8a8	Snapdragon® X2 Elite	4.573 ms	0 - 0 MB	NPU
VIT	QNN_DLC	w8a8	Snapdragon® X Elite	10.754 ms	0 - 0 MB	NPU
VIT	QNN_DLC	w8a8	Snapdragon® 8 Gen 3 Mobile	7.069 ms	0 - 411 MB	NPU
VIT	QNN_DLC	w8a8	Qualcomm® QCS6490	51.044 ms	0 - 2 MB	NPU
VIT	QNN_DLC	w8a8	Qualcomm® QCS8275 (Proxy)	29.699 ms	0 - 287 MB	NPU
VIT	QNN_DLC	w8a8	Qualcomm® QCS8550 (Proxy)	10.229 ms	0 - 2 MB	NPU
VIT	QNN_DLC	w8a8	Qualcomm® SA8775P	9.342 ms	0 - 288 MB	NPU
VIT	QNN_DLC	w8a8	Qualcomm® QCS9075	9.918 ms	2 - 4 MB	NPU
VIT	QNN_DLC	w8a8	Qualcomm® QCM6690	248.567 ms	0 - 499 MB	NPU
VIT	QNN_DLC	w8a8	Qualcomm® QCS8450 (Proxy)	13.452 ms	0 - 414 MB	NPU
VIT	QNN_DLC	w8a8	Qualcomm® SA7255P	29.699 ms	0 - 287 MB	NPU
VIT	QNN_DLC	w8a8	Qualcomm® SA8295P	16.067 ms	0 - 188 MB	NPU
VIT	QNN_DLC	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	5.79 ms	0 - 289 MB	NPU
VIT	QNN_DLC	w8a8	Snapdragon® 7 Gen 4 Mobile	20.043 ms	0 - 325 MB	NPU
VIT	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	3.029 ms	0 - 174 MB	NPU
VIT	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	5.698 ms	0 - 274 MB	NPU
VIT	TFLITE	float	Qualcomm® QCS8275 (Proxy)	35.349 ms	0 - 187 MB	NPU
VIT	TFLITE	float	Qualcomm® QCS8550 (Proxy)	7.866 ms	0 - 3 MB	NPU
VIT	TFLITE	float	Qualcomm® SA8775P	10.791 ms	0 - 190 MB	NPU
VIT	TFLITE	float	Qualcomm® QCS9075	11.475 ms	0 - 173 MB	NPU
VIT	TFLITE	float	Qualcomm® QCS8450 (Proxy)	13.903 ms	0 - 241 MB	NPU
VIT	TFLITE	float	Qualcomm® SA7255P	35.349 ms	0 - 187 MB	NPU
VIT	TFLITE	float	Qualcomm® SA8295P	13.431 ms	0 - 154 MB	NPU
VIT	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	3.908 ms	0 - 184 MB	NPU
VIT	TFLITE	w8a8	Snapdragon® 8 Elite Gen 5 Mobile	4.569 ms	0 - 334 MB	NPU
VIT	TFLITE	w8a8	Snapdragon® 8 Gen 3 Mobile	8.776 ms	0 - 457 MB	NPU
VIT	TFLITE	w8a8	Qualcomm® QCS6490	152.222 ms	1 - 101 MB	NPU
VIT	TFLITE	w8a8	Qualcomm® QCS8275 (Proxy)	35.43 ms	0 - 327 MB	NPU
VIT	TFLITE	w8a8	Qualcomm® QCS8550 (Proxy)	12.279 ms	0 - 4 MB	NPU
VIT	TFLITE	w8a8	Qualcomm® SA8775P	12.377 ms	0 - 327 MB	NPU
VIT	TFLITE	w8a8	Qualcomm® QCS9075	13.843 ms	0 - 88 MB	NPU
VIT	TFLITE	w8a8	Qualcomm® QCM6690	203.01 ms	2 - 287 MB	NPU
VIT	TFLITE	w8a8	Qualcomm® QCS8450 (Proxy)	21.722 ms	0 - 446 MB	NPU
VIT	TFLITE	w8a8	Qualcomm® SA7255P	35.43 ms	0 - 327 MB	NPU
VIT	TFLITE	w8a8	Qualcomm® SA8295P	19.859 ms	0 - 318 MB	NPU
VIT	TFLITE	w8a8	Snapdragon® 8 Elite For Galaxy Mobile	7.09 ms	0 - 317 MB	NPU
VIT	TFLITE	w8a8	Snapdragon® 7 Gen 4 Mobile	30.808 ms	2 - 191 MB	NPU

License

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

References

Community

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Paper for qualcomm/VIT

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 15