Eyeq4 Datasheet Work Jun 2026

According to the EyeQ4 Product Brief , the chip includes the following I/O: Dual 32-bit LPDDR4 SDRAM interfaces at 1.6GHz. Network: 1Gb Ethernet port.

The EyeQ4 datasheet highlights several next-generation ADAS capabilities:

| Part Number | Description | Temperature Range | |-------------|-------------|-------------------| | EYQ4-C-AA | Commercial sample, AEC-Q100 Grade 2 | -40°C to +105°C | | EYQ4-P-AE | Pre-production engineering | 0°C to +85°C | | EYQ4-V-22QMY | Automotive qualified, 22nm variant (rare) | -40°C to +105°C |

Unlike legacy systems focused purely on rear bumpers, EyeQ4 tracks lateral cross-traffic, oncoming hazards, and vehicles oriented at any offset angle. eyeq4 datasheet

Approximately 3 Watts , achieved through a high-efficiency 28nm FD-SOI (Fully Depleted Silicon On Insulator) manufacturing process.

: Controller Area Network interfaces with Flexible Data-rate for real-time, low-latency control commands to braking, steering, and acceleration systems.

A VLIW and SIMD machine optimized for computer vision and deep learning algorithms. According to the EyeQ4 Product Brief , the

The EyeQ4 is a high-performance, low-power System-on-Chip (SoC) designed for advanced driver-assistance systems (ADAS) and autonomous driving applications. Developed by Mobileye, a leading provider of computer vision and machine learning technologies, the EyeQ4 is a fourth-generation SoC that offers significant improvements in processing power, memory, and software capabilities compared to its predecessors.

| Revision | Date | Changes | |----------|------------|----------------------------------| | 1.0 | 2018-08-01 | Initial production datasheet | | 1.1 | 2019-02-10 | Added REM support, power numbers | | 1.2 | 2020-05-22 | Updated temp range, ESD ratings |

A critical takeaway from the EyeQ4 specifications is its focus on functional safety Approximately 3 Watts , achieved through a high-efficiency

: Offers high processing capabilities for handling the complex computations required for tasks like object detection, depth estimation, and motion forecasting.

: Capable of 2.5 Teraflops (TFLOPS) of performance. It is approximately 10 times more powerful than the EyeQ3.

The block diagram of the EyeQ4 reveals a deliberate separation of general-purpose compute and vision-specific pipelines.

Inside the EyeQ4: The "Supercomputer" Driving Your Next Car Mobileye EyeQ4