In the automotive sector, component failure can lead to catastrophic real-world outcomes. The EyeQ4 integrates strict safety features to guarantee operational reliability.
A CGRA dataflow machine providing compute density similar to fixed-function hardware while remaining programmable. Product Variants: High vs. Mid The Evolution of EyeQ - Mobileye
| Feature | EyeQ3 | | EyeQ5 | | :--- | :--- | :--- | :--- | | Launch Year | 2014 | 2018 | 2021 | | Process Node | 40nm | 28nm | 7nm | | Performance (TOPS) | 0.3 | 2.5 | 24 | | Camera Inputs | 2 | 8 | 20+ | | Target Autonomy | L2 | L2 / L3 | L4 / L5 |
: Combining vision data with radar and LiDAR inputs for a unified environmental model. eyeq4 datasheet
22.5 mm x 22.5 mm x 1.7 mm Flip-Chip FBGA (784 pins, 0.8mm pitch) 2. Semiconductor Technology & Package Specifications 28nm FD-SOI Process
The core specifications of the EyeQ4 are officially detailed across several documents. Mobileye provides proprietary, confidential datasheets to its partners, while public sources like have released extensive application notes on powering the SoC, and various industry teardowns have provided technical details.
The Mobileye EyeQ4 is a highly integrated, vision-centric System-on-Chip (SoC) optimized for high-performance, low-power ADAS and autonomous driving workloads. Launched as a major leap forward from its predecessor (EyeQ3), the EyeQ4 introduces a heterogeneous multi-core architecture capable of processing complex computer vision algorithms, deep neural networks (DNNs), and sensor fusion tasks simultaneously. Key Targets In the automotive sector, component failure can lead
: Already integrated into over 160 car models from major OEMs like GM, Nissan, and Honda. Generationally Older : While powerful, it has since been surpassed by the EyeQ Ultra
How it handles for PCB layout design.
: Powers Automated Emergency Braking (AEB), Forward Collision Warning (FCW), and Adaptive Cruise Control (ACC). Review: The "Sweet Spot" for Semi-Autonomous Driving Product Variants: High vs
The EyeQ4 operates on a very efficient 3W envelope, ideal for automotive requirements.
6 Vector Microcode Processors (VMP), 2 Multithreaded Processing Clusters (MPC), 2 Programmable Macro Arrays (PMA) Up to 8 cameras simultaneously at 36 fps Safety Standard ISO 26262 compliant; ASIL-B(D) level Package Flip-Chip FBGA 784-pin (22.5 x 22.5 x 1.7mm) Key Capabilities The Evolution of EyeQ - Mobileye
While the EyeQ5 targets fully driverless robo-taxis and L4 systems, the for high-volume consumer vehicles due to its highly optimized balance of cost, low power draw, and rich L2+ feature set. 8. Conclusion