LwHBench

LwHBench是一个针对单板计算机的低级硬件组件基准测试和数据集，由西班牙穆尔西亚大学信息与通信工程系创建。该数据集包含从45个不同型号的树莓派设备在100天内收集的超过238万条数据，总计4GB。数据集通过执行CPU、GPU、内存和存储的性能测量来创建，旨在支持基于设备和组件性能的网络、系统和服务的边缘AI解决方案。数据集的应用领域包括设备识别和性能分析，旨在解决物联网和边缘计算环境中的设备管理和性能优化问题。

LwHBench is a low-level hardware component benchmarking and dataset for single-board computers, created by the Department of Information and Communications Engineering, University of Murcia, Spain. This dataset contains over 2.38 million data points collected over 100 days across 45 distinct Raspberry Pi device models, with a total size of 4 GB. It is constructed by performing performance measurements on CPU, GPU, memory and storage, aiming to support edge AI solutions for networks, systems and services based on device and component performance. Its application areas include device identification and performance analysis, which targets to address device management and performance optimization issues in IoT and edge computing environments.