Eyeq4 Datasheet [work] Review

This efficiency stems directly from the use of the 28nm FD-SOI process and its purpose-built architecture. The result is that the EyeQ4 is ten times more powerful than the EyeQ3 while consuming only about 20% more energy. This low power draw simplifies thermal management and is a key enabler for cost-effective, compact camera modules.

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.

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

Texas Instruments has published several highly detailed application notes for powering the EyeQ4, effectively acting as a power management datasheet. Key specifications for the (using TI's LP875761A-Q1 PMIC) include:

Utilizes cutting-edge computer vision algorithms like Deep Layered Networks. 3D Detection: First to introduce 3D vehicle and motorbike detection. Environmental Mapping: eyeq4 datasheet

The EyeQ4 is widely considered the processor that moved ADAS from simple "passive" alerts to "active" semi-autonomous driving. Unmatched Efficiency

Deep Learning Accelerator. Dedicated high-performance AI engine. The main source of horse power for convolutional neural networks. ZF and Mobileye Safety Technology Chosen by Toyota

From the official datasheet summary and ISO 26262-compliant documentation:

Includes Hazard Detection, Red Light Warning, and Stop Sign/No Entry warnings. Variants & Compliance Scalability: Available in multiple versions, including EyeQ4-High (full autonomous capability) and This efficiency stems directly from the use of

Automotive Grade: -20°C to +85°C (Extended Storage up to +105°C) Mobileye EyeQ4 Vision Processor Family - Yole Group

: 10x more powerful than EyeQ3 with only a 20% increase in power consumption. Architecture :

| Parameter | Value | |--------------------------|----------------------------------| | Supply Voltage (core) | 0.9 V – 1.1 V | | I/O Voltage | 1.8 V / 3.3 V (configurable) | | Typical Power (TDP) | 3 W – 5 W (operational) | | Max Power | ~8 W (peak) | | Package Type | FCBGA (Flip-Chip Ball Grid Array)| | Operating Temp (junction)| -40°C to +125°C | | Interfaces | MIPI CSI-2, CAN, FlexRay, Automotive Ethernet, I2C, SPI, GPIOs, PCIe |

In summary, the Mobileye EyeQ4 system-on-chip is a powerful, purpose-built vision processor that strikes an exceptional balance between high-performance, low power consumption, and automotive-grade reliability. Its advanced heterogeneous architecture enabled a significant leap in ADAS capabilities, bridging the gap from basic Level 2 assistance to the dawn of Level 3 conditional automation. As a cornerstone of automotive safety technology, the EyeQ4 continues to represent a key milestone in the journey towards fully self-driving vehicles. and industry analysis. The full

Disclaimer: The following information is aggregated from public technical disclosures, Mobileye/Intel whitepapers, and industry analysis. The full, confidential datasheet is typically available only under Non-Disclosure Agreement (NDA) to qualified automotive partners.

. This specialized manufacturing process is what allows it to deliver "super-computer" performance within a tiny power envelope. Computational Performance: 2.5 Teraflops (trillions of operations per second). Power Consumption: Approximately , which is less than many standard mobile phone processors. Architecture: A heterogeneous mix of cores designed for specific tasks: Four multi-threaded MIPS cores. VMP (Vector Microcode Processors):

Mobileye EyeQ4 Datasheet: Architectural Deep Dive and Technical Specifications