Yolo-NAS: Optimized for Mobile Deployment

Real-time object detection optimized for mobile and edge

YoloNAS is a machine learning model that predicts bounding boxes and classes of objects in an image.

This model is an implementation of Yolo-NAS found here.

More details on model performance across various devices, can be found here.

Model Details

Model Type: Object detection
Model Stats:
- Model checkpoint: YoloNAS Small
- Input resolution: 640x640
- Number of parameters: 12.2M
- Model size: 46.6 MB

Model	Device	Chipset	Target Runtime	Inference Time (ms)	Peak Memory Range (MB)	Precision	Primary Compute Unit	Target Model
Yolo-NAS	Samsung Galaxy S23	Snapdragon® 8 Gen 2	TFLITE	8.961 ms	0 - 21 MB	FP16	NPU	--
Yolo-NAS	Samsung Galaxy S23	Snapdragon® 8 Gen 2	QNN	9.594 ms	5 - 23 MB	FP16	NPU	--
Yolo-NAS	Samsung Galaxy S23	Snapdragon® 8 Gen 2	ONNX	7.819 ms	0 - 82 MB	FP16	NPU	--
Yolo-NAS	Samsung Galaxy S24	Snapdragon® 8 Gen 3	TFLITE	6.097 ms	0 - 38 MB	FP16	NPU	--
Yolo-NAS	Samsung Galaxy S24	Snapdragon® 8 Gen 3	QNN	6.526 ms	5 - 36 MB	FP16	NPU	--
Yolo-NAS	Samsung Galaxy S24	Snapdragon® 8 Gen 3	ONNX	5.351 ms	5 - 53 MB	FP16	NPU	--
Yolo-NAS	Snapdragon 8 Elite QRD	Snapdragon® 8 Elite	TFLITE	6.305 ms	0 - 37 MB	FP16	NPU	--
Yolo-NAS	Snapdragon 8 Elite QRD	Snapdragon® 8 Elite	QNN	6.299 ms	5 - 37 MB	FP16	NPU	--
Yolo-NAS	Snapdragon 8 Elite QRD	Snapdragon® 8 Elite	ONNX	5.444 ms	7 - 46 MB	FP16	NPU	--
Yolo-NAS	QCS8550 (Proxy)	QCS8550 Proxy	TFLITE	8.951 ms	0 - 22 MB	FP16	NPU	--
Yolo-NAS	QCS8550 (Proxy)	QCS8550 Proxy	QNN	9.507 ms	5 - 8 MB	FP16	NPU	--
Yolo-NAS	SA7255P ADP	SA7255P	QNN	223.609 ms	1 - 10 MB	FP16	NPU	--
Yolo-NAS	SA8255 (Proxy)	SA8255P Proxy	TFLITE	8.938 ms	0 - 21 MB	FP16	NPU	--
Yolo-NAS	SA8255 (Proxy)	SA8255P Proxy	QNN	9.472 ms	5 - 7 MB	FP16	NPU	--
Yolo-NAS	SA8295P ADP	SA8295P	TFLITE	13.91 ms	0 - 35 MB	FP16	NPU	--
Yolo-NAS	SA8295P ADP	SA8295P	QNN	14.561 ms	0 - 14 MB	FP16	NPU	--
Yolo-NAS	SA8650 (Proxy)	SA8650P Proxy	TFLITE	8.953 ms	0 - 20 MB	FP16	NPU	--
Yolo-NAS	SA8650 (Proxy)	SA8650P Proxy	QNN	9.369 ms	5 - 7 MB	FP16	NPU	--
Yolo-NAS	SA8775P ADP	SA8775P	TFLITE	15.522 ms	0 - 32 MB	FP16	NPU	--
Yolo-NAS	SA8775P ADP	SA8775P	QNN	16.293 ms	1 - 11 MB	FP16	NPU	--
Yolo-NAS	QCS8450 (Proxy)	QCS8450 Proxy	TFLITE	12.218 ms	0 - 37 MB	FP16	NPU	--
Yolo-NAS	QCS8450 (Proxy)	QCS8450 Proxy	QNN	12.833 ms	5 - 37 MB	FP16	NPU	--
Yolo-NAS	Snapdragon X Elite CRD	Snapdragon® X Elite	QNN	10.306 ms	5 - 5 MB	FP16	NPU	--
Yolo-NAS	Snapdragon X Elite CRD	Snapdragon® X Elite	ONNX	8.473 ms	22 - 22 MB	FP16	NPU	--

License

The license for the original implementation of Yolo-NAS can be found here.
The license for the compiled assets for on-device deployment 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.

Usage and Limitations

Model may not be used for or in connection with any of the following applications:

Accessing essential private and public services and benefits;
Administration of justice and democratic processes;
Assessing or recognizing the emotional state of a person;
Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics;
Education and vocational training;
Employment and workers management;
Exploitation of the vulnerabilities of persons resulting in harmful behavior;
General purpose social scoring;
Law enforcement;
Management and operation of critical infrastructure;
Migration, asylum and border control management;
Predictive policing;
Real-time remote biometric identification in public spaces;
Recommender systems of social media platforms;
Scraping of facial images (from the internet or otherwise); and/or
Subliminal manipulation