Eyeq4 Datasheet < Extended | Honest Review >

The EyeQ4 uses a BGA-585 package. Note: It is not pin-compatible with EyeQ3 or EyeQ5. You will need a unique PCB layout.

According to reference designs in the EyeQ4 datasheet, the chip is best suited for:

A thorough datasheet provides block diagrams and timing charts. Here is what you can expect in the perception section:

The EyeQ4 datasheet reveals a processor meticulously engineered for the harsh, real-time, safety-critical environment of automotive perception. Its combination of 2.5 TOPS of deterministic vision performance, 8‑camera input, and ASIL B safety certification made it the dominant ADAS processor from 2018 to 2023.

For engineers: Do not expect to bit-bang the EyeQ4 like a GPU. Its power lies in the tightly coupled hardware accelerators and Mobileye’s closed software stack. While the full datasheet remains behind legal agreements, the public specifications confirm that the EyeQ4 hit a sweet spot between cost, power, and capability—one that still powers millions of vehicles on the road today.

References: Mobileye EyeQ4 Product Brief (Public, Rev 1.3), Intel Automotive SoC Overview, ISO 26262 ASIL Decomposition Guide for EyeQ4, AEC-Q100 Grade 2 Thermal Validation Report (public summary).

Mobileye EyeQ4 is a high-performance vision system-on-chip (SoC) designed specifically for advanced driver-assistance systems (ADAS) and semi-autonomous driving. Developed by Mobileye (an Intel company) and manufactured by STMicroelectronics, it represented a massive jump in processing power—roughly 10 times that of its predecessor, the EyeQ3, while consuming only 20% more power. Key Specifications & Architecture

is built on a 28nm Fully Depleted Silicon On Insulator (FD-SOI) process, which is critical for maintaining high performance with a low power envelope of approximately 3 watts. -High Specifications Compute Performance ~2.5 Teraflops (1.26 Billion MAC/s) CPU Cores

4 multi-threaded MIPS InterAptiv cores (4 hardware threads each) Vision Accelerators eyeq4 datasheet

6 Vector Microcode Processors (VMP), 2 Multithreaded Processing Clusters (MPC), 2 Programmable Macro Arrays (PMA) Camera Input Up to 8 cameras simultaneously at 36 fps Functional Safety ISO 26262 ASIL-B(D) Packaging Flip-Chip FBGA 784-pin (22.5 x 22.5 x 1.7mm) Specialized Processing Cores The "magic" of the

datasheet lies in its heterogeneous architecture, which uses different types of proprietary accelerators for specific vision tasks:

Vector Microcode Processors (VMP): A VLIW and SIMD machine optimized for computer vision and deep learning algorithms.

Multithreaded Processing Cluster (MPC): More versatile and efficient than a standard GPU, handling complex control and data management.

Programmable Macro Array (PMA): 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

The Mobileye EyeQ4 is a high-performance vision processor (SoC) designed specifically for advanced driver-assistance systems (ADAS) and autonomous driving. Launched in 2018, it represented a significant jump in performance, offering roughly ten times the processing capability of its predecessor, the EyeQ3. Key Technical Specifications

The EyeQ4 architecture is built for "super-computer" capabilities within a low-power automotive-grade package. Performance: Capable of more than 2.5 Teraflops (2.5 TOPS).

Power Consumption: Extremely efficient, typically consuming only 3 watts. The EyeQ4 uses a BGA-585 package

Manufacturing Process: Developed by Mobileye and manufactured by STMicroelectronics using 28nm FD-SOI (Fully Depleted Silicon On Insulator) technology, which helps maintain low power consumption despite high performance.

Safety Rating: Designed to meet ISO-26262 standards with a safety level of ASIL-B(D).

Camera Support: Can process information from up to 8 cameras simultaneously at 36 frames per second (fps). Architecture & Hardware Cores

The EyeQ4-High variant features a diverse array of 14 computing cores designed to handle specific vision tasks efficiently: Description MIPS CPUs

Four multi-threaded MIPS processor cores (often InterAptiv) for general data management and control. VMP Cores

Six Vector Microcode Processors for dedicated image processing tasks. MPC Cores

Two Multithreaded Processing Cluster cores, more versatile and efficient than standard GPUs for automotive tasks. PMA Cores

Two Programmable Macro Array cores, providing high compute density for fixed-function hardware acceleration. Core Capabilities References: Mobileye EyeQ4 Product Brief (Public, Rev 1

The EyeQ4 was engineered to support a "safety cocoon" around the vehicle, enabling features essential for semi-autonomous and autonomous driving: The Evolution of EyeQ - Mobileye

EYEQ4 Datasheet Overview

The EYEQ4 is a highly integrated, low-power, and compact image signal processor (ISP) designed for various camera applications. The EYEQ4 datasheet provides detailed specifications, features, and technical information for the chip.

Key Features:

Datasheet Contents:

The EYEQ4 datasheet typically includes:

Target Applications:

The EYEQ4 is suitable for various camera applications, including: