Up to 2.5 Tera Operations Per Second (TOPS) .
Approximately 3 Watts , achieved through a high-efficiency 28nm FD-SOI (Fully Depleted Silicon On Insulator) manufacturing process.
Optimized for entry-level NCAP compliance and basic collision avoidance features. Key Features and Applications eyeq4 datasheet
Produced by STMicroelectronics using a proprietary 28nm process.
Capable of processing up to 8 cameras simultaneously at 36 frames per second (fps). Architectural Overview Up to 2
Integration with Mobileye Road Experience Management (REM) for crowdsourced high-definition mapping.
The is a high-performance vision-based System-on-Chip (SoC) designed specifically for Advanced Driver Assistance Systems (ADAS) and autonomous driving . Leveraging a heterogeneous multi-core architecture, it delivers significant leaps in computational efficiency compared to its predecessors. Description General Purpose Compute
The EyeQ4 utilizes a diverse set of specialized accelerators to handle complex computer vision and deep learning tasks efficiently. Description General Purpose Compute