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® 8 Elite Gen 5 Mobile	2.908 ms	0 - 234 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® X2 Elite	3.42 ms	16 - 16 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® X Elite	7.175 ms	17 - 17 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® 8 Gen 3 Mobile	4.199 ms	14 - 281 MB	NPU
YOLOv11-Segmentation	ONNX	float	Qualcomm® QCS8550 (Proxy)	6.647 ms	11 - 15 MB	NPU
YOLOv11-Segmentation	ONNX	float	Qualcomm® QCS9075	7.83 ms	12 - 15 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	3.468 ms	12 - 237 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 Mobile	2.441 ms	0 - 89 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® X2 Elite	2.679 ms	6 - 6 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® X Elite	6.435 ms	8 - 8 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	3.661 ms	8 - 240 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCS6490	436.77 ms	164 - 169 MB	CPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	5.908 ms	5 - 11 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCS9075	7.164 ms	6 - 9 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCM6690	217.954 ms	182 - 191 MB	CPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	2.757 ms	0 - 83 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	197.306 ms	165 - 175 MB	CPU
YOLOv11-Segmentation	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	1.917 ms	0 - 105 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	3.155 ms	0 - 114 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS8275 (Proxy)	15.405 ms	4 - 85 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS8550 (Proxy)	4.331 ms	4 - 13 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® SA8775P	6.047 ms	4 - 90 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS9075	5.859 ms	4 - 22 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS8450 (Proxy)	10.079 ms	4 - 208 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® SA7255P	15.405 ms	4 - 85 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® SA8295P	9.314 ms	4 - 177 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	2.366 ms	0 - 85 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.