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Huge electricity consumption is a severe issue for edge data centers. To thisend, we propose a new form of edge server, namely SoC-Cluster, thatorchestrates many low-power mobile system-on-chips (SoCs) through an on-chipnetwork. For the first time, we have developed a concrete SoC-Cluster serverthat consists of 60 Qualcomm Snapdragon 865 SoCs in a 2U rack. Such a serverhas been commercialized successfully and deployed in large scale on edgeclouds. The current dominant workload on those deployed SoC-Clusters is cloudgaming, as mobile SoCs can seamlessly run native mobile games.  The primary goal of this work is to demystify whether SoC-Cluster canefficiently serve more general-purpose, edge-typical workloads. Therefore, webuilt a benchmark suite that leverages state-of-the-art libraries for twokiller edge workloads, i.e., video transcoding and deep learning inference. Thebenchmark comprehensively reports the performance, power consumption, and otherapplication-specific metrics. We then performed a thorough measurement studyand directly compared SoC-Cluster with traditional edge servers (with Intel CPUand NVIDIA GPU) with respect to physical size, electricity, and billing. Theresults reveal the advantages of SoC-Cluster, especially its high energyefficiency and the ability to proportionally scale energy consumption withvarious incoming loads, as well as its limitations. The results also provideinsightful implications and valuable guidance to further improve SoC-Clusterand land it in broader edge scenarios.

SoC-Cluster as an Edge Server: an Application-driven Measurement Study