When edge AI vision meets low-power, high-performance computing, a silent revolution in computational power is unfolding across industrial and smart‑device applications. Xiangcheng Electronics XC3588E High-Performance Industrial Control Motherboard , leveraging the flagship RK3588 chip and industrial-grade expandability, it seamlessly integrates with DEEPX’s DX-M1 series 25‑TOPS AI accelerator cards, with measured system‑level power consumption… Less than 30,000 , with a powerful combination of “6 TOPS native computing power + 25 TOPS scalable computing power,” it breaks the dual bottleneck of edge AI computing performance and power consumption, bringing to scenarios such as smart security, industrial vision, robotics, and intelligent transportation… Ultimate energy efficiency and powerful performance A dual upgrade.

The XC3588E industrial control motherboard can also seamlessly interface with Rockchip’s RK182X computing coprocessor, forming a golden computing duo of “main chip + co‑processor.”

I. Hardcore Dual-Chip Combo: The Pinnacle of Low Power Consumption, Boasting a Staggering 25 TOPS of Computing Power

The XC3588E motherboard, a flagship industrial‑grade product designed for high‑end smart applications, is built on the 8nm‑process RK3588 chip. It features a native octa‑core 64‑bit processor with four A76 cores and four A55 cores, clocked at up to 2.4 GHz, and includes a 6 TOPS NPU, delivering both general‑purpose computing and basic AI inference capabilities.

Meanwhile, the DEEPX compute card is a dedicated acceleration card designed for edge AI computing, with core performance delivering up to 25 TOPS (INT8) , supporting efficient AI inference and meeting the real-time processing demands of complex computer vision tasks such as object detection and image segmentation. It delivers excellent energy efficiency, with power consumption as low as 2–5 W, achieving approximately 5 TOPS per watt—making it ideal for power‑sensitive edge devices. Onboard 4 GB LPDDR5 memory employs a dedicated memory architecture, without consuming host system memory resources. Measuring just 80 × 22 × 4.7 mm, it is compact and lightweight, easily integrable into a wide range of devices. When paired with the XC3588E, the overall AI computing performance surges to 31 TOPS while maintaining… Total power consumption < 3W An industry miracle.

l Computing power doubles, performance leaps to a new level. : The 6‑TOPS motherboard NPU handles lightweight AI tasks and system scheduling, while the 25‑TOPS DEEPX accelerator card specializes in high‑density visual inference. Working in tandem with no interference between them, this dual‑core architecture delivers over four times the AI inference performance of a single RK3588 platform, enabling real‑time execution of complex models without any strain.

l Seamless compatibility, plug-and-play. : XC3588E reserved for dedicated use M.2 M_key interface , fully compatible with DEEPX compute cards, driver-free compatibility and one-click deployment, supporting Android, Ubuntu, and China’s Kylin operating system Supports multiple systems, offers zero‑barrier development, and enables rapid deployment of diverse AI vision projects.

In addition to supporting DEEPX compute cards, the XC3588E motherboard is fully compatible. Rockchip RK182X computing coprocessor . Rockchip’s edge‑side AI computing coprocessor is designed to work in conjunction with a host processor (such as the RK3588 or RK3568) and is optimized for machine vision and edge‑AI applications. It features a multi‑core NPU that delivers up to … in INT8 precision. 20 TOPS It supports mixed-precision computations such as INT4, INT16, FP8, and FP16, enabling the execution of large language models or vision models with 3B to 7B parameters. It features high‑bandwidth embedded DRAM options of 2.5 GB (RK1820) or 5 GB (RK1828), delivering memory bandwidth up to 1024 GB/s to effectively mitigate data‑access bottlenecks. The platform also supports interfaces including PCIe 2.1, USB 3.0, and Ethernet. The XC3588E motherboard can seamlessly integrate via the PCIe 2.1 high‑speed interface, forming a heterogeneous computing architecture that combines RK3588–based main‑chip scheduling with RK182X–based co‑processor inference.

II. Benchmark Performance Unleashed: Mastering Leading AI Models with Low Power and High Efficiency

To verify XC3588E+ computing card Regarding the actual performance of these models, we conducted empirical measurements of power consumption and inference frame rate (FPS) for popular AI architectures in industrial vision and intelligent security, including the YOLO series, ResNet, and MobileNet. The results are as follows:

III. Comprehensive Scene Coverage: AI Vision Upgraded—One Device Handles All Industries

By virtue of Low power consumption, high computing performance, and strong scalability Its core advantage—the XC3588E plus computing card combination—has become a “universal core” for AI‑powered visual upgrades, addressing intelligent‑application needs across all scenarios:

· Smart Security : Concurrent analysis of 16-channel 1080P video, with real-time face, behavior, and license plate recognition; low-power outdoor deployment requiring no power‑supply upgrades; the ideal choice for smart communities, open‑kitchen monitoring, and construction‑site supervision.

· Intelligent robot ： Dual-channel CAN Precise bus control plus 25 TOPS of visual recognition enable robots to simultaneously perform obstacle avoidance, object grasping, and autonomous navigation, while low power consumption extends battery life—making it the ideal companion for service robots, industrial AGVs, and intelligent autonomous vehicles.

· Smart Transportation : Road condition monitoring, vehicle counting, and violation detection; wide-temperature‑range stable operation; fanless design for outdoor extreme environments; real-time edge‑side analytics to reduce cloud‑to‑device transmission latency.

· Smart terminal : Self-service kiosks, medical imaging analytics, and educational tablets—delivering low-power, silent operation and high-performance AI‑driven interaction to enhance user experience and device battery life.

From the DEEPX accelerator card’s exceptional visual computing power to the RK182X coprocessor’s on‑device large‑model capabilities, the XC3588E motherboard delivers… Low power consumption, high scalability, and dual‑compute‑power compatibility Its core strengths redefine the standards for edge AI hardware. No need to compromise between power consumption and performance, nor to design complex cooling systems—plug-and-play, with efficient deployment—making AI‑powered visual upgrades simpler, more energy‑efficient, and more powerful.