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® X Elite	7.177 ms	17 - 17 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® 8 Gen 3 Mobile	4.197 ms	1 - 269 MB	NPU
YOLOv11-Segmentation	ONNX	float	Qualcomm® QCS8550 (Proxy)	6.631 ms	14 - 123 MB	NPU
YOLOv11-Segmentation	ONNX	float	Qualcomm® QCS9075	7.835 ms	12 - 15 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	3.49 ms	1 - 228 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	2.919 ms	0 - 235 MB	NPU
YOLOv11-Segmentation	ONNX	float	Snapdragon® X2 Elite	3.379 ms	15 - 15 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® X Elite	6.43 ms	8 - 8 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	3.678 ms	0 - 230 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCS6490	425.63 ms	165 - 170 MB	CPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCS8550 (Proxy)	5.927 ms	5 - 126 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCS9075	7.092 ms	6 - 9 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Qualcomm® QCM6690	217.734 ms	167 - 177 MB	CPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	2.743 ms	0 - 84 MB	NPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	196.628 ms	99 - 109 MB	CPU
YOLOv11-Segmentation	ONNX	w8a16	Snapdragon® X2 Elite	2.652 ms	6 - 6 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	3.144 ms	0 - 117 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS8275 (Proxy)	64.498 ms	7 - 37 MB	GPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS8550 (Proxy)	4.293 ms	0 - 5 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® SA8775P	6.056 ms	4 - 90 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS9075	5.882 ms	3 - 21 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® QCS8450 (Proxy)	10.082 ms	4 - 207 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® SA7255P	64.498 ms	7 - 37 MB	GPU
YOLOv11-Segmentation	TFLITE	float	Qualcomm® SA8295P	9.375 ms	4 - 177 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	2.386 ms	0 - 93 MB	NPU
YOLOv11-Segmentation	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	1.937 ms	0 - 104 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.