Yolo-R: Optimized for Qualcomm Devices

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

This is based on the implementation of Yolo-R 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

Due to licensing restrictions, we cannot distribute pre-exported model assets for this model. 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

See our repository for Yolo-R on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.object_detection

Model Stats:

• Model checkpoint: yolor_p6
• Input resolution: 640x640
• Number of parameters: 4.68M
• Model size (float): 17.9 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
Yolo-R	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	26.596 ms	6 - 318 MB	NPU
Yolo-R	ONNX	float	Snapdragon® X2 Elite	26.422 ms	75 - 75 MB	NPU
Yolo-R	ONNX	float	Snapdragon® X Elite	58.203 ms	74 - 74 MB	NPU
Yolo-R	ONNX	float	Snapdragon® 8 Gen 3 Mobile	41.88 ms	6 - 355 MB	NPU
Yolo-R	ONNX	float	Qualcomm® QCS8550 (Proxy)	56.589 ms	0 - 78 MB	NPU
Yolo-R	ONNX	float	Qualcomm® QCS9075	52.802 ms	5 - 12 MB	NPU
Yolo-R	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	37.084 ms	2 - 224 MB	NPU
Yolo-R	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	17.989 ms	3 - 429 MB	NPU
Yolo-R	ONNX	w8a16	Snapdragon® X2 Elite	18.352 ms	41 - 41 MB	NPU
Yolo-R	ONNX	w8a16	Snapdragon® X Elite	30.487 ms	40 - 40 MB	NPU
Yolo-R	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	20.937 ms	0 - 493 MB	NPU
Yolo-R	ONNX	w8a16	Qualcomm® QCS6490	2273.766 ms	128 - 134 MB	CPU
Yolo-R	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	29.392 ms	0 - 50 MB	NPU
Yolo-R	ONNX	w8a16	Qualcomm® QCS9075	29.42 ms	1 - 6 MB	NPU
Yolo-R	ONNX	w8a16	Qualcomm® QCM6690	1174.879 ms	46 - 59 MB	CPU
Yolo-R	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	17.09 ms	1 - 355 MB	NPU
Yolo-R	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	1117.064 ms	123 - 136 MB	CPU
Yolo-R	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	14.061 ms	5 - 297 MB	NPU
Yolo-R	QNN_DLC	float	Snapdragon® X2 Elite	15.354 ms	5 - 5 MB	NPU
Yolo-R	QNN_DLC	float	Snapdragon® X Elite	29.35 ms	5 - 5 MB	NPU
Yolo-R	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	22.723 ms	5 - 324 MB	NPU
Yolo-R	QNN_DLC	float	Qualcomm® QCS8275 (Proxy)	100.21 ms	1 - 253 MB	NPU
Yolo-R	QNN_DLC	float	Qualcomm® QCS8550 (Proxy)	29.639 ms	5 - 7 MB	NPU
Yolo-R	QNN_DLC	float	Qualcomm® SA8775P	36.096 ms	1 - 259 MB	NPU
Yolo-R	QNN_DLC	float	Qualcomm® QCS9075	37.41 ms	5 - 11 MB	NPU
Yolo-R	QNN_DLC	float	Qualcomm® QCS8450 (Proxy)	49.716 ms	4 - 376 MB	NPU
Yolo-R	QNN_DLC	float	Qualcomm® SA7255P	100.21 ms	1 - 253 MB	NPU
Yolo-R	QNN_DLC	float	Qualcomm® SA8295P	44.036 ms	0 - 306 MB	NPU
Yolo-R	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	18.644 ms	0 - 230 MB	NPU
Yolo-R	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	7.303 ms	2 - 303 MB	NPU
Yolo-R	QNN_DLC	w8a16	Snapdragon® X2 Elite	8.38 ms	2 - 2 MB	NPU
Yolo-R	QNN_DLC	w8a16	Snapdragon® X Elite	18.975 ms	2 - 2 MB	NPU
Yolo-R	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	12.442 ms	2 - 367 MB	NPU
Yolo-R	QNN_DLC	w8a16	Qualcomm® QCS6490	77.67 ms	1 - 5 MB	NPU
Yolo-R	QNN_DLC	w8a16	Qualcomm® QCS8275 (Proxy)	37.386 ms	1 - 289 MB	NPU
Yolo-R	QNN_DLC	w8a16	Qualcomm® QCS8550 (Proxy)	18.338 ms	2 - 5 MB	NPU
Yolo-R	QNN_DLC	w8a16	Qualcomm® SA8775P	18.348 ms	0 - 289 MB	NPU
Yolo-R	QNN_DLC	w8a16	Qualcomm® QCS9075	20.527 ms	0 - 4 MB	NPU
Yolo-R	QNN_DLC	w8a16	Qualcomm® QCM6690	237.504 ms	2 - 400 MB	NPU
Yolo-R	QNN_DLC	w8a16	Qualcomm® QCS8450 (Proxy)	24.359 ms	2 - 369 MB	NPU
Yolo-R	QNN_DLC	w8a16	Qualcomm® SA7255P	37.386 ms	1 - 289 MB	NPU
Yolo-R	QNN_DLC	w8a16	Qualcomm® SA8295P	23.585 ms	2 - 293 MB	NPU
Yolo-R	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	9.82 ms	2 - 301 MB	NPU
Yolo-R	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	26.793 ms	2 - 312 MB	NPU
Yolo-R	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	26.339 ms	1 - 343 MB	NPU
Yolo-R	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	38.872 ms	34 - 478 MB	NPU
Yolo-R	TFLITE	float	Qualcomm® QCS8275 (Proxy)	137.805 ms	1 - 328 MB	NPU
Yolo-R	TFLITE	float	Qualcomm® QCS8550 (Proxy)	59.03 ms	0 - 3 MB	NPU
Yolo-R	TFLITE	float	Qualcomm® SA8775P	66.376 ms	0 - 308 MB	NPU
Yolo-R	TFLITE	float	Qualcomm® QCS9075	50.721 ms	0 - 86 MB	NPU
Yolo-R	TFLITE	float	Qualcomm® QCS8450 (Proxy)	89.294 ms	0 - 467 MB	NPU
Yolo-R	TFLITE	float	Qualcomm® SA7255P	137.805 ms	1 - 328 MB	NPU
Yolo-R	TFLITE	float	Qualcomm® SA8295P	76.681 ms	1 - 355 MB	NPU
Yolo-R	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	32.082 ms	1 - 287 MB	NPU

License

• The license for the original implementation of Yolo-R can be found here.

References

• You Only Learn One Representation: Unified Network for Multiple Tasks
• 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.