: It was designed to support everything from basic mono-camera systems to complex "Tri-cam" setups found in luxury brands like BMW. Proven Reliability
: By 2018, it was already launched in 78 different vehicle models from 16 major manufacturers like BMW, Nissan, and GM.
: Capable of over 2.5 Teraflops (TFLOPS) of processing power. Power Consumption : Highly efficient, typically consuming only Manufacturing Process : Built using 28nm FD-SOI
The is a vision-based System-on-Chip (SoC) designed by Mobileye and manufactured in collaboration with STMicroelectronics . Launched as a core computational engine for Advanced Driver Assistance Systems (ADAS), the EyeQ4 delivers 2.5 Tera Operations Per Second (TOPS) of deep learning performance while maintaining a strict automotive power envelope of 3 Watts . eyeq4 datasheet
Q: Where can I find more information on the EyeQ4 datasheet? A: Developers and engineers can visit the Mobileye website, which provides a range of resources, including datasheets, technical documentation, and software development kits (SDKs).
According to the datasheet, the EyeQ4 features a unified memory architecture with:
Two MPC cores providing versatility and efficiency surpassing standard GPUs for OpenCL workloads. : It was designed to support everything from
For automotive tier-1 suppliers and OEMs, the EyeQ4 datasheet outlines a highly stable, ISO 26262 compliant platform capable of driving multi-camera surround perception, REM mapping, and robust L2+/L3 driving automation safely into the mass market.
: Features 2 MPC cores . This proprietary architecture acts as a more versatile accelerator than conventional OpenCL platforms, maintaining higher efficiency than general-purpose compute units.
at 36 frames per second. This allows it to support sophisticated features that were previously impossible for a single chip: ZF and Mobileye Safety Technology Chosen by Toyota A: Developers and engineers can visit the Mobileye
: Built-in 2× 128MB Flash memory channels running in a redundant arrangement for automotive safe boot and firmware integrity. Vehicle Networking & Connectivity Mobileye EyeQ4 Vision Processor Family - Yole Group
For hardware engineers, a complete set of community resources is available:
Serving as the computational engine behind Level 2 and Level 3 autonomous driving functions in millions of vehicles, the EyeQ4 delivers a massive leap in processing capabilities compared to its predecessors without sacrificing the strict power efficiency required for automotive environments.
An isolated cryptographic core that manages secure boot sequences, prevents unauthorized firmware flashes, protects against over-the-air (OTA) hacking vectors, and secures vehicle-to-everything (V2X) communication keys. 7. Comparative Analysis: EyeQ3 vs. EyeQ4 vs. EyeQ5