Eyeq4 Datasheet Jun 2026
The automotive industry's shift toward autonomous driving requires immense computational power packed into highly efficient semiconductor designs. At the heart of this revolution is Mobileye's EyeQ family of System-on-Chips (SoCs). The EyeQ4, representing the fourth generation of this vision-processing lineage, serves as a critical milestone. It transitioned the market from basic Advanced Driver Assistance Systems (ADAS) to semi-autonomous Level 3 driving capabilities.
: Combining vision data with radar and LiDAR inputs for a unified environmental model.
As of this writing, of the full 2,500+ page EyeQ4 datasheet exists. Access is gated through:
: Real-time localization and crowdsourced high-definition mapping data generation. eyeq4 datasheet
+-----------------------------------------------------------------------+ | MIPS CPU Cores | | (4x Cores / 4x Threads per Core / 64-bit RISC) | +-----------------------------------------------------------------------+ | VMP Cores (6x) | MPC Cores (2x) | PMA Cores (2x) | | (Vector Microcode Eng.) | (Multi-Thread Clust) | (Prog. Macro Array) | +-----------------------------------------------------------------------+ | Image Signal Processor | +-----------------------------------------------------------------------+ Processor Subsystems
If you need to know more about the (e.g., PCIe, Ethernet, CAN) mentioned in the datasheet, I can look that up. I can also help compare the EyeQ4 with the EyeQ5 , if you're interested in that. Mobileye EyeQ4 Vision Processor Family - Yole Group
Unlike commodity chips (e.g., from TI or STMicroelectronics), Mobileye does not publish the full EyeQ4 datasheet on its public website. To obtain it: It transitioned the market from basic Advanced Driver
| Parameter | Value | |-----------|-------| | | 28nm FD-SOI (Fully Depleted Silicon On Insulator) | | Peak Performance | 2.5 TOPS (Trillions of Operations Per Second) | | Power Consumption | ~3W (typical, automotive grade) | | Camera Inputs | Up to 8 cameras (raw image sensors via MIPI CSI-2) | | CPU Cores | 4× MIPS interAptiv (lockstep for safety) | | Vision Accelerators | 4× Vector Microcode Processors (VMPs) | | Memory Interface | LPDDR4 / DDR3L (up to 4 GB, 64-bit) | | Safety Level | ASIL B (system) / ASIL D (for some safety paths) | | Operating Temp | -40°C to +105°C (Tj) |
user wants a long article about the "eyeq4 datasheet". I need to provide a comprehensive datasheet. I should search for "eyeq4 datasheet" to gather the necessary information. I'll follow the search plan. search results have provided some initial information. I'll need to open the most relevant-looking pages to gather more detailed information for the datasheet. search results provide a good amount of information. I'll structure the article with sections like overview, architecture, performance, power, interfaces, applications, and design resources. I'll cite the sources I've found. Now, I need to write the article. need to write a comprehensive article. I'll structure it with sections for overview, core architecture, performance, power, interfaces, applications, design resources, and conclusion. I'll cite the gathered information. Mobileye EyeQ4 chip was a landmark in automotive-grade vision processing. Its datasheet is not a single, public document but is instead a comprehensive collection of technical specifications, application notes, and design guidelines. This article synthesizes all the available technical information to create a complete reference for engineers, developers, and technology analysts.
Can process up to at 36 FPS (high version) Package Size 22.5 x 22.5 mm (784-pin Flip-Chip FBGA) Architecture Overview Access is gated through: : Real-time localization and
: Multiple lanes allowing direct interfacing with high-resolution CMOS image sensors.
+-------------------------------------------------------------+ | Mobileye EyeQ4 Software Stack | +-------------------------------------------------------------+ | [Application Layer] REM (Mapping) / RSS (Safety Policy) | +-------------------------------------------------------------+ | [Perception Layer] Vehicle, Pedestrian, Lane, Sign Detect | +-------------------------------------------------------------+ | [Framework Layer] Deep Learning / Sparse Models Core | +-------------------------------------------------------------+ | [OS / Hardware] RTOS / ASIL Functional Safety Firmware | +-------------------------------------------------------------+ Road Experience Management (REM)
The EyeQ4 datasheet provides a comprehensive overview of the EyeQ4 SoC, highlighting its key features, technical specifications, and applications. As a leading SoC in the field of autonomous driving and AI, the EyeQ4 is an ideal solution for various industries, including automotive, industrial, and consumer applications. By understanding the EyeQ4 datasheet, developers and engineers can unlock the full potential of this powerful SoC and create innovative solutions that transform industries.
The PMA and VMP accelerators run highly optimized neural networks that detect: