Single-Board Computers

The Radxa X4 is powered by an Intel N100 processor with speeds up to 3.4 GHz, offering superior graphics performance with three times higher scores in 3D benchmarks compared to the Raspberry Pi 5. It also features faster Ethernet and Wi-Fi 6 connectivity, three USB 3.2 Gen 2 ports, and a built-in M.2 slot for high-speed SSD storage without needing adapters. These hardware advantages provide better overall performance and expandability than the Raspberry Pi 5.

Because the Radxa X4 uses an x86 Intel N100 processor, it supports a wider range of operating systems, including various Linux distributions and Windows, with full BIOS access for desktop-like customization. In contrast, the Raspberry Pi 5 uses an ARM architecture, which limits Windows support and some software compatibility. This makes the Radxa X4 more versatile for users needing Windows or specific x86 applications.

The AAEON de next-RAP8 is powered by 13th Generation Intel Core processors, including up to a 10-core Intel Core i7-1365UE CPU with a 15W TDP, which delivers significantly higher performance than typical SBCs such as the Raspberry Pi. It also supports up to 16GB of LPDDR5x RAM, features dual Ethernet ports with 2.5GbE and 1GbE speeds, multiple USB 3.2 Gen 2 ports, HDMI and eDP display outputs, and expansion options like M.2 NVMe SSD and PCIe Gen3 x4 connectors. Its compact size (86mm x 55mm) matches that of the Raspberry Pi 5, making it one of the most powerful credit card-sized SBCs designed for robotics and industrial applications[4][5].

Although the de next-RAP8 offers impressive performance and compact size, its complexity and need for additional add-on cards for features like AI acceleration and extra storage make it less suitable for standard office environments. Typical business PCs require built-in features and better scalability without the need for specialized expansion, which the de next-RAP8 lacks due to its design focus on robotics, drones, kiosks, and industrial systems that demand custom integration in space-constrained setups[5].