Eyeq4 Datasheet Link
A critical takeaway from the EyeQ4 specifications is its focus on functional safety
The EyeQ4's powerful processing underpins a comprehensive suite of driver-assistance features.
Powering lane-keeping, adaptive cruise control, and pedestrian avoidance.
+-------------------------------------------------------------+ | 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) eyeq4 datasheet
: Capable of reaching 2.5 Tera Operations Per Second (TOPS) (or 2.5 TFLOPS).
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.
For high-level logic, path planning, sensor fusion, and operating system management, the EyeQ4 features . Each core supports hardware multi-threading, enabling the SoC to manage dozens of concurrent software threads smoothly without context-switching bottlenecks. 3. Technical Specifications & Datasheet Metrics A critical takeaway from the EyeQ4 specifications is
A comparison of performance metrics between . Share public link
While the raw TOPS number (2.5) seems low compared to modern desktop GPUs, the datasheet emphasizes . The EyeQ4 executes 8-bit integer CNN inferences at a rate of 0.25ms per layer. This allows it to detect objects (cars, pedestrians, traffic signs) at 30-36 frames per second across three distinct camera streams simultaneously.
The datasheet often references the necessity of Mobileye’s – a proprietary SDK. Important: The chip will not run arbitrary Linux or C++ code. It runs Mobileye’s closed software stack. Developers can add small accelerators via the Programmable Macro Array. Released in 2018
This technical guide breaks down the core architecture, semiconductor properties, operational performance metrics, and application scenarios found within the . 1. Executive Technical Summary
Four multi-threaded MIPS processor cores (often InterAptiv) for general data management and control.
The EyeQ4 datasheet is a detailed document that outlines the technical specifications, architecture, and features of the EyeQ4 SoC. It provides an overview of the chip's design, including its processing power, memory, and interfaces. The datasheet also covers the EyeQ4's key features, such as its computer vision capabilities, machine learning algorithms, and support for various sensors and interfaces.
Two cores designed to be more versatile than a GPU and more efficient than a CPU for complex vision tasks.
The is Mobileye's fourth-generation vision processor. Released in 2018, it represented a generational leap in performance, achieving approximately ten times the computational capability of its predecessor, the EyeQ3. Its primary function is to interpret data from camera systems to enable Level 2 (L2) and Level 3 (L3) semi-autonomous driving features in production vehicles.