YOLO26-Pose

qualcomm/YOLO26-Pose

YOLO26-Pose is a keypoint detection model from qualcomm. Use it for the keypoint detection task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as agpl-3.0.

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Updated Oct 7, 2026

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At a glance

Task: Keypoint Detection
Library: pytorch
License: agpl-3.0
Access: Public
Created: Jul 1, 2026
Updated: Oct 7, 2026
SHA: ebb9cd1f

Model card

From the Hugging Face model README

YOLO26-Pose: Optimized for Qualcomm Devices

Ultralytics YOLO26-Pose is a machine learning model that predicts human body keypoints and bounding boxes in an image.

This is based on the implementation of YOLO26-Pose 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 YOLO26-Pose on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.pose_estimation

Model Stats:

Input resolution: 640x640
Model checkpoint: YOLO26-N-Pose
Model size (float): 11.4 MB
Number of parameters: 2.97M

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
YOLO26-Pose	ONNX	float	Snapdragon® 8 Elite Gen 5 For Galaxy Mobile	3.84 ms	6 - 181 MB	NPU
YOLO26-Pose	ONNX	float	Snapdragon® 8 Elite For Galaxy Mobile	4.033 ms	5 - 174 MB	NPU
YOLO26-Pose	ONNX	float	Snapdragon® X2 Elite	3.882 ms	9 - 9 MB	NPU
YOLO26-Pose	ONNX	float	Snapdragon® X Elite	9.037 ms	9 - 9 MB	NPU
YOLO26-Pose	ONNX	float	Snapdragon® 8 Gen 3 Mobile	6.147 ms	8 - 212 MB	NPU
YOLO26-Pose	ONNX	float	Snapdragon® 8 Gen 1 Mobile	15.143 ms	9 - 226 MB	NPU
YOLO26-Pose	ONNX	float	Qualcomm® Dragonwing™ IQ-8275	9.438 ms	6 - 10 MB	NPU
YOLO26-Pose	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	8.693 ms	2 - 13 MB	NPU
YOLO26-Pose	ONNX	float	Qualcomm® QCS8450	15.143 ms	9 - 226 MB	NPU
YOLO26-Pose	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	10.083 ms	6 - 10 MB	NPU
YOLO26-Pose	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	9.037 ms	9 - 9 MB	NPU
YOLO26-Pose	ONNX	float	Qualcomm® Dragonwing™ Q-8750	4.033 ms	5 - 174 MB	NPU
YOLO26-Pose	ONNX	w8a16	Snapdragon® 8 Elite Gen 5 For Galaxy Mobile	2.437 ms	1 - 96 MB	NPU
YOLO26-Pose	ONNX	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	2.789 ms	0 - 94 MB	NPU
YOLO26-Pose	ONNX	w8a16	Snapdragon® X2 Elite	2.608 ms	4 - 4 MB	NPU
YOLO26-Pose	ONNX	w8a16	Snapdragon® X Elite	6.427 ms	2 - 2 MB	NPU
YOLO26-Pose	ONNX	w8a16	Snapdragon® 8 Gen 3 Mobile	3.846 ms	0 - 228 MB	NPU
YOLO26-Pose	ONNX	w8a16	Snapdragon® 8 Gen 1 Mobile	7.756 ms	4 - 230 MB	NPU
YOLO26-Pose	ONNX	w8a16	Qualcomm® Dragonwing™ QCS6490	21.885 ms	3 - 7 MB	NPU
YOLO26-Pose	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-8275	5.631 ms	3 - 7 MB	NPU
YOLO26-Pose	ONNX	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	6.031 ms	3 - 8 MB	NPU
YOLO26-Pose	ONNX	w8a16	Qualcomm® QCS8450	7.756 ms	4 - 230 MB	NPU
YOLO26-Pose	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-9075	6.797 ms	3 - 7 MB	NPU
YOLO26-Pose	ONNX	w8a16	Qualcomm® Dragonwing™ IQ-X7181	6.427 ms	2 - 2 MB	NPU
YOLO26-Pose	ONNX	w8a16	Qualcomm® Dragonwing™ Q-6690	29.576 ms	4 - 202 MB	NPU
YOLO26-Pose	ONNX	w8a16	Qualcomm® Dragonwing™ Q-7790	7.969 ms	4 - 208 MB	NPU
YOLO26-Pose	ONNX	w8a16	Qualcomm® Dragonwing™ Q-8750	2.789 ms	0 - 94 MB	NPU
YOLO26-Pose	ONNX	w8a16	Snapdragon® 7 Gen 4 Mobile	7.969 ms	4 - 208 MB	NPU
YOLO26-Pose	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 For Galaxy Mobile	2.577 ms	5 - 179 MB	NPU
YOLO26-Pose	QNN_DLC	float	Snapdragon® 8 Elite For Galaxy Mobile	3.144 ms	5 - 162 MB	NPU
YOLO26-Pose	QNN_DLC	float	Snapdragon® X2 Elite	3.358 ms	5 - 5 MB	NPU
YOLO26-Pose	QNN_DLC	float	Snapdragon® X Elite	6.214 ms	5 - 5 MB	NPU
YOLO26-Pose	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	4.089 ms	5 - 190 MB	NPU
YOLO26-Pose	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	10.08 ms	4 - 207 MB	NPU
YOLO26-Pose	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-8275	6.764 ms	5 - 14 MB	NPU
YOLO26-Pose	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	5.696 ms	5 - 6 MB	NPU
YOLO26-Pose	QNN_DLC	float	Qualcomm® SA8775P	7.22 ms	0 - 163 MB	NPU
YOLO26-Pose	QNN_DLC	float	Qualcomm® SA8650P	7.22 ms	0 - 163 MB	NPU
YOLO26-Pose	QNN_DLC	float	Qualcomm® SA8255P	7.22 ms	0 - 163 MB	NPU
YOLO26-Pose	QNN_DLC	float	Qualcomm® QCS8450	10.08 ms	4 - 207 MB	NPU
YOLO26-Pose	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	7.016 ms	5 - 13 MB	NPU
YOLO26-Pose	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	6.214 ms	5 - 5 MB	NPU
YOLO26-Pose	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	3.144 ms	5 - 162 MB	NPU
YOLO26-Pose	QNN_DLC	float	Qualcomm® SA8295P	10.428 ms	0 - 180 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Snapdragon® 8 Elite Gen 5 For Galaxy Mobile	2.148 ms	2 - 198 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Snapdragon® 8 Elite For Galaxy Mobile	2.488 ms	2 - 184 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Snapdragon® X2 Elite	2.668 ms	2 - 2 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Snapdragon® X Elite	5.648 ms	2 - 2 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Snapdragon® 8 Gen 3 Mobile	3.401 ms	2 - 211 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-8275	4.886 ms	1 - 7 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Qualcomm® Dragonwing™ QCS8550 (Proxy)	5.08 ms	2 - 4 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Qualcomm® SA8775P	5.702 ms	0 - 181 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Qualcomm® SA8650P	5.702 ms	0 - 181 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Qualcomm® SA8255P	5.702 ms	0 - 181 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-9075	5.501 ms	2 - 8 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Qualcomm® Dragonwing™ IQ-X7181	5.648 ms	2 - 2 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-6690	22.513 ms	2 - 181 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-7790	5.324 ms	2 - 183 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Qualcomm® Dragonwing™ Q-8750	2.488 ms	2 - 184 MB	NPU
YOLO26-Pose	QNN_DLC	w8a16	Snapdragon® 7 Gen 4 Mobile	5.324 ms	2 - 183 MB	NPU
YOLO26-Pose	TFLITE	float	Snapdragon® 8 Elite Gen 5 For Galaxy Mobile	2.808 ms	0 - 185 MB	NPU
YOLO26-Pose	TFLITE	float	Snapdragon® 8 Elite For Galaxy Mobile	3.807 ms	0 - 171 MB	NPU
YOLO26-Pose	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	4.888 ms	1 - 196 MB	NPU
YOLO26-Pose	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	12.79 ms	0 - 216 MB	NPU
YOLO26-Pose	TFLITE	float	Qualcomm® Dragonwing™ IQ-8275	7.846 ms	2 - 23 MB	NPU
YOLO26-Pose	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	7.251 ms	2 - 5 MB	NPU
YOLO26-Pose	TFLITE	float	Qualcomm® SA8775P	23.839 ms	0 - 32 MB	GPU
YOLO26-Pose	TFLITE	float	Qualcomm® SA8650P	23.839 ms	0 - 32 MB	GPU
YOLO26-Pose	TFLITE	float	Qualcomm® SA8255P	23.839 ms	0 - 32 MB	GPU
YOLO26-Pose	TFLITE	float	Qualcomm® QCS8450	12.79 ms	0 - 216 MB	NPU
YOLO26-Pose	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	8.52 ms	2 - 22 MB	NPU
YOLO26-Pose	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	3.807 ms	0 - 171 MB	NPU
YOLO26-Pose	TFLITE	float	Qualcomm® SA7255P	18.207 ms	2 - 175 MB	NPU
YOLO26-Pose	TFLITE	float	Qualcomm® SA8295P	12.072 ms	2 - 194 MB	NPU

License

The license for the original implementation of YOLO26-Pose can be found here.

References

Community

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Task: Keypoint Detection
Library: pytorch
License: agpl-3.0
Created: Jul 1, 2026
Updated: Oct 7, 2026