The EyeQ4 datasheet provides a comprehensive overview of Mobileye's latest SoC for ADAS and autonomous driving applications. With its powerful processing capabilities, large memory capacity, and support for a range of sensors and software frameworks, the EyeQ4 is well-suited for demanding applications like computer vision, machine learning, and autonomous driving. As the automotive industry continues to evolve towards more advanced driver-assistance systems and autonomous vehicles, the EyeQ4 is poised to play a key role in enabling these technologies.

As of this writing, of the full 2,500+ page EyeQ4 datasheet exists. Access is gated through:

Up to 2.5 Tera Operations Per Second (TOPS) .

Mobileye EyeQ4 is a high-performance System-on-Chip (SoC) designed for vision-based Advanced Driver Assistance Systems (ADAS) and semi-autonomous driving. Launched as a significant leap over its predecessor, the EyeQ3, it provides the computational "super-computer" power required for complex environmental modeling while maintaining strict automotive power efficiency. Core Specifications & Architecture Performance: Delivers over 2.5 Teraflops (2.5 TOPS) of compute power. Power Consumption: Highly efficient, typically consuming only Process Technology: Manufactured using STMicroelectronics' 28nm FD-SOI (Fully Depleted Silicon-on-Insulator) process. Heterogeneous Processor Mix: Four multi-threaded MIPS processor cores. VMP (Vector Microcode Processors):

According to reference designs in the EyeQ4 datasheet, the chip is best suited for:

The EyeQ4 architecture is built on a (Fully Depleted Silicon On Insulator) process technology from STMicroelectronics , which is critical for its high efficiency. Specification Details Performance Over 2.5 Teraflops (TFLOPS) or 2.5 TOPS Power Consumption Approximately 3 Watts for typical automotive use Video Processing