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)

Raw benchmark score — scale varies by task

Showing 10 models

#	Model	Domain	Task	Params ↑	GFLOPs	VRAM	Score	Speed	Arch	Source
1	SINet	Edge/Mobile	Segmentation	0.09M	—	0 MB	——	—	—	Qualcomm AI Hub
2	MediaPipe-Selfie-Segmentation	Edge/Mobile	Segmentation	0.11M	—	0 MB	——	—	—	Qualcomm AI Hub
3	YOLO26-Segmentation	Edge/Mobile	Segmentation	2.70M	—	6 MB	——	—	—	Qualcomm AI Hub
4	YOLOv11-Segmentation	Edge/Mobile	Segmentation	2.89M	—	7 MB	——	—	—	Qualcomm AI Hub
5	YOLOv8-Segmentation	Edge/Mobile	Segmentation	3.43M	—	8 MB	——	—	—	Qualcomm AI Hub
6	Segformer-Base	Edge/Mobile	Segmentation	3.75M	—	5 MB	——	—	—	Qualcomm AI Hub
7	DeepLabV3-Plus-MobileNet	Edge/Mobile	Segmentation	5.80M	—	14 MB	——	—	—	Qualcomm AI Hub
8	DDRNet23-Slim	Edge/Mobile	Segmentation	6.13M	—	7 MB	——	—	—	Qualcomm AI Hub
9	SalsaNext	Edge/Mobile	Segmentation	6.71M	—	16 MB	——	—	—	Qualcomm AI Hub
10	PidNet	Edge/Mobile	Segmentation	8.06M	—	10 MB	——	—	—	Qualcomm AI Hub