---
language:
- zh
tags:
- hisilicon
- hispark
- npu
- openharmony
- modelzoo
- pytorch
---

# YOLO11s

YOLO系列网络模型是最为经典的one-stage算法，也是目前工业领域使用最多的目标检测网络，YOLO11网络模型是YOLO系列的最新版本，在继承了原有YOLO网络模型优点的基础上，在架构和训练方法上进行了重大改进，具有更高的检测精度、速度和效率

## Mirror Metadata

- Hugging Face repo: shadow-cann/hispark-modelzoo-yolo11s
- Portal model id: i9q7jrn16k00
- Created at: 2025-12-26 09:54:03
- Updated at: 2025-12-30 20:02:18
- Category: 计算机视觉

## Framework

- PyTorch

## Supported OS

- OpenHarmony
- Linux

## Computing Power

- Hi3403V100 SVP_NNN
- Hi3403V100 NNN

## Tags

- 目标检测

## Detail Parameters

- 输入: 640x640
- 参数量: 9.469M
- 计算量: 23.805GFLOPs

## Files In This Repo

- yolo11s.om (编译模型 / A16W8 / A16W8)
- yolo11s_fp16_Hi3403V100-NNN.om (编译模型 / FP16 / FP16)
- yolo11s.pt (源模型 / 源模型下载)
- yolo11s.onnx (源模型 / 源模型下载)
- SVP_NNN_PC_V1.0.6.0.tgz (工具链 / 工具链)

## Upstream Links

- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=i9q7jrn16k00
- Upstream repository: https://gitee.com/Hispark/modelzoo/tree/master/samples/samples_GPL/built-in/yolo11s
- License reference: https://github.com/ultralytics/ultralytics/blob/master/LICENSE

## Notes

- This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
- File ownership follows the portal card mapping, not just filename similarity.
- Cover image: 1701337666486274_yolo11s.jpg