← 返回模型目录
- QCS6490
- 8.5msW8A8
- QCS8550
- 4.8msW8A16
- IQ9
- 需适配
- IQ8
- 需适配
机房真机实测，全部精度 ›
运行效果
真机输出
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"tensorsUrl": "/files/runs/pvr_4suv5wm4bj/3e2851c5959d3ab7c4d32480-b3-features.npz"
}
}机房真机 QCS8550 · W8A16 · 处理耗时 5.9 ms
板卡实测
真机处理时延的中位数。多阶段模型计入各阶段处理，生成模型的耗时受输入和输出长度影响。
部署指南
- 1
在工作流中跑通
用样例或自己的输入在机房的QCS8550 上运行，确认结果和速度。
- 2
导出工程
在工作流右上角选择「导出」，下载工程包。模型与样例按 sha256 锁定，前后处理与网站运行时一致。
- 3
在板卡上安装运行库
把工程拷到QCS8550（ARM64、Python 3.10 的 AidLux 环境，AidLux ≥ 2.0），在工程目录下载并校验已验证的配套运行库。
python3 install-sdk.py - 4
只需要模型文件？
各板卡的构建也发布在 Hugging Face ↗，按芯片下载，文件与工程包中的完全一致。
hf download APLUX-Agora/Dinov3-ViT-S-16 --include "targets/QCS8550/*" --local-dir ./resources - 5
运行
结果写入 outputs/，并打印每块积木的耗时。工程通过官方 AidLite 接口加载模型，代码完整随包提供。
python3 app/pipeline.py --sdk-root .sdk --input 你的文件
规格
- 任务
- 其他
- 输入尺寸
- 224×224
- 来源
- Model Farm
- 许可证
- Apache-2.0
- 版本
- 1.0.0