The Mobileye EyeQ4 represents a benchmark in purpose-built automotive silicon engineering. By utilizing a heterogeneous architecture pairing MIPS CPU cores with proprietary VMP, PMA, and MPC accelerators, it achieves 2.5 TOPS of computer vision performance inside a strict 5-watt power envelope.
The datasheet recommends a 4-layer PCB with at least 6 thermal vias under the exposed die pad for conduction to chassis ground.
The Mobileye EyeQ4 Go to product viewer dialog for this item. eyeq4 datasheet
: Capable of reaching 2.5 Tera Operations Per Second (TOPS) (or 2.5 TFLOPS).
For an autonomous driving processor to accurately map its environment, it must maintain a wide I/O highway capable of interfacing with high-resolution image sensors, radar, and vehicle networks. Video Data Inputs The Mobileye EyeQ4 represents a benchmark in purpose-built
The EyeQ4 incorporates six VMP cores . These are wide-vector VLIW (Very Long Instruction Word) and SIMD (Single Instruction, Multiple Data) matrix machines. They excel at executing low-level pixel manipulation and the linear integer math operations common in computer vision.
Can process up to at 36 FPS (high version) Package Size 22.5 x 22.5 mm (784-pin Flip-Chip FBGA) Architecture Overview The Mobileye EyeQ4 Go to product viewer dialog for this item
: Supports various interfaces for connecting to sensors (cameras, radar, lidar), and other components of the vehicle's system. It also includes support for high-bandwidth memory to handle the data-intensive tasks.
The EyeQ4 uses a , distributing tasks across different specialized cores to maximize efficiency. 1. CPU Cores Quantity: 4 quad-threaded MIPS InterAptiv cores.
The CPU complex executes Mobileye's RSS model—a mathematical framework that defines what it means for an automated vehicle to drive safely. It evaluates surrounding traffic behaviors to prevent the host vehicle from initiating dangerous maneuvers. Deep Learning Object Classification