Google Coral USB Edge TPU ML Accelerator vs SHANGZHAOYUAN B85M PRO LGA 1150 Motherboard for
Updated July 2026 — Google Coral USB Edge TPU ML Accelerator wins on power and performance, SHANGZHAOYUAN B85M PRO LGA 1150 Motherboard for wins on memory and connectivity.
The Google Coral USB Edge TPU excels in machine learning applications, while the SHANGZHAOYUAN B85M PRO is better suited for traditional PC builds. Choose based on your specific needs.
Why Google Coral USB Edge TPU ML Accelerator is better
Performance
High-speed ML inferencing capabilities
Power Efficiency
Low power consumption for embedded systems
Compact Design
Ideal for integration into small systems
Why SHANGZHAOYUAN B85M PRO LGA 1150 Motherboard for is better
Price
Lower cost for budget builds
Memory Support
Supports up to 32GB DDR3 memory
Connectivity
Multiple ports for versatile integration
Overall score
Specifications
| Spec | Google Coral USB Edge TPU ML Accelerator | SHANGZHAOYUAN B85M PRO LGA 1150 Motherboard for |
|---|---|---|
| Price | $89.00 | $79.99 |
| Processor Support | N/A | Intel 4th Gen |
| Memory Type | N/A | DDR3 |
| USB Ports | 1 x USB 3.1 | Multiple |
| Power Supply | Low | 500W min |
Dimension comparison
Overview
In this comparison, we will look at the Google Coral USB Edge TPU ML Accelerator and the SHANGZHAOYUAN B85M PRO LGA 1150 Motherboard. The Google Coral USB Edge TPU is priced at $89.00, while the SHANGZHAOYUAN B85M PRO is slightly cheaper at $79.99, making it about 17% less expensive. Each product serves a distinct purpose in the tech ecosystem, catering to different user needs.
Target Audience
The Google Coral USB Edge TPU is aimed at developers and enthusiasts who want to enhance machine learning capabilities in their projects. It is particularly suited for those working with embedded systems and AI applications. On the other hand, the SHANGZHAOYUAN B85M PRO targets PC builders and gamers looking to create a reliable system using Intel's 4th generation processors. Each product is tailored to specific audiences, making them valuable in their respective niches.
Performance Capabilities
The Google Coral USB Edge TPU is designed for high-performance machine learning inferencing, allowing it to execute models like MobileNet v2 at over 100 frames per second. This capability makes it ideal for applications requiring fast ML inferencing while maintaining low power consumption. In contrast, the SHANGZHAOYUAN B85M PRO motherboard supports Intel's 4th generation Core i7, i5, and i3 processors, facilitating a stable computing environment for various tasks. While both devices provide solid performance in their fields, the Google Coral excels in AI applications, whereas the B85M PRO is built for traditional computing tasks.
Connectivity Options
Connectivity is a critical factor to consider when choosing between these products. The Google Coral USB Edge TPU features a USB 3.1 (Gen 1) port, providing a SuperSpeed transfer rate of 5Gb/s, which is essential for fast data handling in machine learning applications. In comparison, the SHANGZHAOYUAN B85M PRO offers multiple connectivity options, including one RJ45 gigabit network port, various PCIe slots, and three SATA 3.0 connections, making it versatile for integrating various components. While the Google Coral focuses on high-speed data transfer for AI tasks, the B85M PRO delivers broader connectivity for a comprehensive computer build.
Power Consumption
The Google Coral USB Edge TPU is designed with low power consumption in mind, making it a suitable option for embedded devices that require efficient energy use. It operates efficiently with a power usage that is significantly lower than traditional computing devices. In contrast, the SHANGZHAOYUAN B85M PRO motherboard requires a minimum of a 500W power supply to function correctly, which is typical for motherboards supporting high-performance Intel processors. Thus, while the Coral TPU champions energy efficiency, the B85M PRO may demand more power given its capabilities.
Memory Support
The Google Coral USB Edge TPU does not specify memory support since it operates as a coprocessor rather than a standalone system. It relies on the host CPU's specifications for memory. Meanwhile, the SHANGZHAOYUAN B85M PRO supports dual-channel DDR3 memory with a maximum capacity of 32GB across four slots, allowing for robust multitasking and system performance. This significant difference highlights that while the Coral enhances existing systems, the B85M PRO is designed to facilitate a complete computing experience with ample memory support.
Build Quality and Design
The Google Coral USB Edge TPU is compact and designed for easy integration into existing systems, featuring a small footprint that makes it ideal for embedded applications. On the other hand, the SHANGZHAOYUAN B85M PRO boasts an 8-layer PCB design, which enhances durability and stability. It also features a heat dissipation armor to ensure efficient cooling during operation. While both products prioritize quality, the B85M PRO's design is tailored for traditional PC builds, whereas the Coral is built to enhance compact systems.
Price Comparison
The Google Coral USB Edge TPU is priced at $89.00, while the SHANGZHAOYUAN B85M PRO is available for $79.99. This price difference of $9.01 makes the B85M PRO about 10% cheaper than the Google Coral. When considering budget constraints, the lower price of the B85M PRO may appeal to users looking to build or upgrade their systems without breaking the bank. However, the price of each product correlates directly with its intended use, making each a worthwhile investment depending on the user's needs.
Which should you buy?
Deciding between the Google Coral USB Edge TPU and the SHANGZHAOYUAN B85M PRO depends on your specific requirements. If you are focused on enhancing machine learning capabilities and require a compact solution for AI applications, the Google Coral USB Edge TPU is the best choice. However, if you are looking to build a stable and versatile PC using Intel's 4th generation processors, the SHANGZHAOYUAN B85M PRO motherboard is the way to go. Both products have their strengths, and your choice should reflect the direction of your tech endeavors.