YOLOv11-Segmentation: Optimized for Qualcomm Devices

Ultralytics YOLOv11 is a machine learning model that predicts bounding boxes, segmentation masks and classes of objects in an image.

This is based on the implementation of YOLOv11-Segmentation 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 YOLOv11-Segmentation on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

• Model checkpoint: YOLO11N-Seg
• Input resolution: 640x640
• Number of output classes: 80
• Number of parameters: 2.89M
• Model size (float): 11.1 MB
• Model size (w8a16): 11.4 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
YOLOv11-Segmentation	ONNX	float	Snapdragon® X2 Elite	3.407 ms	16 - 16 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® X Elite	7.146 ms	17 - 17 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® 8 Gen 3 Mobile	4.196 ms	0 - 269 MB	NPU
YOLOv11-Segmentation	ONNX	float	Qualcomm® QCS8550 (Proxy)	6.698 ms	11 - 15 MB	NPU
YOLOv11-Segmentation	ONNX	float	Qualcomm® QCS9075	7.837 ms	11 - 14 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	3.456 ms	1 - 225 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	2.917 ms	0 - 235 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® X2 Elite	2.66 ms	6 - 6 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® X Elite	6.411 ms	8 - 8 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	3.645 ms	8 - 236 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCS6490	423.428 ms	164 - 169 MB	CPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	5.887 ms	5 - 11 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCS9075	7.101 ms	7 - 10 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCM6690	217.803 ms	156 - 166 MB	CPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	2.743 ms	2 - 102 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	196.767 ms	100 - 110 MB	CPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	2.425 ms	0 - 89 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	3.155 ms	0 - 117 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS8275 (Proxy)	15.378 ms	4 - 85 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS8550 (Proxy)	4.314 ms	4 - 6 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® SA8775P	6.006 ms	4 - 89 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS9075	5.867 ms	4 - 22 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS8450 (Proxy)	10.077 ms	4 - 208 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® SA7255P	15.378 ms	4 - 85 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® SA8295P	9.348 ms	4 - 177 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	2.367 ms	0 - 95 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	1.947 ms	1 - 106 MB	NPU

License

• The license for the original implementation of YOLOv11-Segmentation can be found here.

References

• Ultralytics YOLOv11 Docs: Instance Segmentation
• 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.