Small Model Hub

3,618 efficient AI models across 9 domains · Charts · API

Domain

All (3,618)Vision (1,615)3D (743)Embedding (472)Multimodal (305)Edge/Mobile (172)Code (125)Speech (89)Video (49)NLP (48)

Task

All Tasks Image Classification (46)Object Detection (41)Segmentation (34)Pose Estimation (11)Super Resolution (10)driver assistance (9)image editing (6)Depth Estimation (6)image generation (4)video object tracking (2)robotics (1)gaze estimation (1)video generation (1)

Max Size≤10M ≤50M ≤100M ≤500M All

Max VRAM≤512MB ≤1GB ≤2GB ≤4GB ≤8GB All

Score

Raw Context (0-100)

Percentile rank within each task — comparable across domains

Showing 11 models

#	Model	Domain	Task	Params ↑	GFLOPs	VRAM	Context	Speed	Arch	Source
1	LiteHRNet	Edge/Mobile	Pose Estimation	1.11M	—	3 MB	—	—	—	Qualcomm AI Hub
2	Movenet	Edge/Mobile	Pose Estimation	2.33M	—	6 MB	—	—	—	Qualcomm AI Hub
3	YOLOv11-Pose	Edge/Mobile	Pose Estimation	2.90M	—	7 MB	—	—	—	Qualcomm AI Hub
4	YOLO26-Pose	Edge/Mobile	Pose Estimation	2.97M	—	7 MB	—	—	—	Qualcomm AI Hub
5	Posenet-Mobilenet	Edge/Mobile	Pose Estimation	3.31M	—	4 MB	—	—	—	Qualcomm AI Hub
6	Facial-Landmark-Detection	Edge/Mobile	Pose Estimation	5.42M	—	7 MB	—	—	—	Qualcomm AI Hub
7	SixDRepNet	Edge/Mobile	Pose Estimation	15.3M	—	37 MB	—	—	—	Qualcomm AI Hub
8	RTMPose-Body2d	Edge/Mobile	Pose Estimation	17.9M	—	43 MB	—	—	—	Qualcomm AI Hub
9	CenterNet-Pose	Edge/Mobile	Pose Estimation	20.6M	—	49 MB	—	—	—	Qualcomm AI Hub
10	HRNetPose	Edge/Mobile	Pose Estimation	28.5M	—	34 MB	—	—	—	Qualcomm AI Hub
11	MediaPipe-Pose-Estimation	Edge/Mobile	Pose Estimation	—	—	—	—	—	—	Qualcomm AI Hub