资料准备：
香橙派官网资料下载链接：http://www.orangepi.cn/html/hardWare/computerAndMicrocontrollers/service-and-support/Orange-Pi-AIpro.html
硬件准备
香橙派ai pro一个
32G sd卡，带出厂镜像
电源
鼠标
键盘
hdmi显示屏

测试介绍
由于香橙派aipro针对的主打的ai，这里针对经常使用硬件接口做一些测试：
网络、硬盘、hdmi显示、摄像头等
后续更新在香橙派跑ai算法部分

一、到货开机测试
1、到货图

2、硬件连接
手头有鼠标键盘，直接把板子当作pc用，hdmi显示器需要连接靠近usb插座那个插座，电源是最边上那个turb-c接口

正常启动的时候风扇会全速转声音有点大，启动后就有调速，声音就没那么大了
**

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登录
默认sd卡出厂镜像是ubuntu
密码Mind@123

wifi联网

测试网络是否通畅
ping 百度 ping http://www.baidu.com/

测速
这里使用speedtest
安装speedtest：sudo apt-get install speedtest-cli
测速：speedtest-cli

网速还算正常

二、摄像头测试
由于手里只有usb接口的uvc摄像头，这里使用的uvc协议的摄像头做测试验证
使用cheese工具
安装工具：sudo apt-get install cheese
测试摄像头：sudo cheese /dev/video0
/dev/video0 是根据摄像头插上后ubuntu生成的设备文件，获取方法插上摄像头，然后ls /dev/v*
看对应的摄像头是哪个，一般默认是video0

三、稳定性测试
这里使用的出厂sd卡镜像作为测试
开机连续运行了10天，系统正常
查看系统运行时间测试命令：uptime

四、ssd硬盘测试
由于可能涉及存储大的文件，所以买了个m2的ssd硬盘
这里用的京东京造的512G硬盘

硬盘安装

查看到硬盘信息 sudo fdisk -l | grep "nvme0n1"

硬盘测速
使用hdparm测试读取速度
使用dd测试写入速度
安装hdparm工具：sudo apt-get install hdparm
查看硬盘设备文件：ls /dev/nvme*
测试读取速度命令：sudo hdparm -Tt /dev/nvme0n1
测试写入速度命令：sudo dd if=/dev/nvme0n1 of=tempfile bs=1M count=1000 conv=fdatasync
查看硬盘文件名

测试读取速度

测试写入速度

五、测试opencv打开摄像头
opencv默认已经安装，只需安装依赖库
pip install opencv-contrib-python
opencv python测试程序testopencv.py：

import cv2

cap = cv2.VideoCapture(0)
if not cap.isOpened():
    print("Cannot open camera")
    exit()
while(True):
ret, frame = cap.read()
cv2.imshow('Camera', frame)
key = cv2.waitKey(1)
if(key & 0xff == ord('q')):
break;
cap.release()
cv2.destroyAllWindows()

运行测试程序

python testopencv.py

六、GPU测试
这里使用glmark2
glmark2工具安装：sudo apt install glmark2
GPU测试命令：glmark2

最后得分80分，还算可以
七、CPU测试
这里使用sysbench工具加压测试看性能
安装工具：sudo apt-get install sysbench
测试命令：sysbench cpu --time=10 --threads=4 --cpu-max-prime=20000 run
查看cpu信息：lscpu

CPU测试

八、yolov5测试
按照用户手册说明，出厂已经安装好yolov5
demo路径：/home/HwHiAiUser/samples/notebooks
运行方法：
执行启动脚本：./start_notebook.sh
回出现以下打印：

(base) HwHiAiUser@orangepiaipro:~/samples/notebooks$ ./start_notebook.sh 
[W 2024-06-11 22:45:07.353 ServerApp] A `_jupyter_server_extension_points` function was not found in notebook_shim. Instead, a `_jupyter_server_extension_paths` function was found and will be used for now. This function name will be deprecated in future releases of Jupyter Server.
[I 2024-06-11 22:45:07.355 ServerApp] jupyter_lsp | extension was successfully linked.
[I 2024-06-11 22:45:07.368 ServerApp] jupyter_server_terminals | extension was successfully linked.
[I 2024-06-11 22:45:07.384 ServerApp] jupyterlab | extension was successfully linked.
[I 2024-06-11 22:45:08.113 ServerApp] notebook_shim | extension was successfully linked.
[I 2024-06-11 22:45:08.284 ServerApp] notebook_shim | extension was successfully loaded.
[I 2024-06-11 22:45:08.290 ServerApp] jupyter_lsp | extension was successfully loaded.
[I 2024-06-11 22:45:08.293 ServerApp] jupyter_server_terminals | extension was successfully loaded.
[I 2024-06-11 22:45:08.300 LabApp] JupyterLab extension loaded from /usr/local/miniconda3/lib/python3.9/site-packages/jupyterlab
[I 2024-06-11 22:45:08.300 LabApp] JupyterLab application directory is /usr/local/miniconda3/share/jupyter/lab
[I 2024-06-11 22:45:08.301 LabApp] Extension Manager is 'pypi'.
[I 2024-06-11 22:45:08.310 ServerApp] jupyterlab | extension was successfully loaded.
[I 2024-06-11 22:45:08.311 ServerApp] Serving notebooks from local directory: /home/HwHiAiUser/samples/notebooks
[I 2024-06-11 22:45:08.311 ServerApp] Jupyter Server 2.12.5 is running at:
[I 2024-06-11 22:45:08.311 ServerApp] http://127.0.0.1:8888/lab?token=c16d8cad18133675eec04c90ef3c1c0d49a1578b6bc8980b
[I 2024-06-11 22:45:08.311 ServerApp]     http://127.0.0.1:8888/lab?token=c16d8cad18133675eec04c90ef3c1c0d49a1578b6bc8980b
[I 2024-06-11 22:45:08.311 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 2024-06-11 22:45:08.321 ServerApp]

利用自带的火狐浏览器登录以下网页

http://127.0.0.1:8888/lab?token=c16d8cad18133675eec04c90ef3c1c0d49a1578b6bc8980b

点击运行即可出现结果

运行官方的demo速度还行

九、总结
整体硬件对应常用的ai开发如人脸等模型应用是足够的，后续更新使用香橙派自己的ncu加速模型