| Feature | EyeQ3 | | EyeQ5 | | :--- | :--- | :--- | :--- | | Launch Year | 2014 | 2018 | 2021 | | Process Node | 40nm | 28nm | 7nm | | Performance (TOPS) | 0.3 | 2.5 | 24 | | Camera Inputs | 2 | 8 | 20+ | | Target Autonomy | L2 | L2 / L3 | L4 / L5 |
Introduction In the rapidly evolving landscape of autonomous driving, the brain behind the perception system is just as critical as the sensors themselves. For over a decade, Mobileye (an Intel company) has dominated the market for vision-based advanced driver-assistance systems (ADAS). Among their most successful and widely deployed products is the EyeQ4 . eyeq4 datasheet
This article serves as a comprehensive breakdown of what you need to know about the EyeQ4 datasheet—covering its architectural features, key technical specifications, and why this chip remains a benchmark in the automotive industry. 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. Launched in 2018, the EyeQ4 is Mobileye’s fourth-generation system-on-a-chip (SoC) designed specifically for Level 2 (L2) and Level 3 (L3) autonomous driving features. Unlike its predecessors, the EyeQ4 was architected to process multiple camera inputs simultaneously, enabling surround-view sensing and advanced feature fusion. | Feature | EyeQ3 | | EyeQ5 |