Eyeq4 Datasheet Official

: Features four CPU cores (with four hardware threads each) and six Vector Microcode Processors (VMP) specialized for image processing.

The represents a significant milestone in the evolution of vision-based Advanced Driver Assistance Systems (ADAS) . Launched in 2018 as the successor to the EyeQ3, it offers roughly ten times the processing power of its predecessor while maintaining a strict automotive-grade power envelope. eyeq4 datasheet

The datasheet warns that "debugging via JTAG while driving VMPs at full frequency may cause timing violations on safety-critical paths." Use reduced clock speeds during debug. : Features four CPU cores (with four hardware

EyeQ4 is not a “deep learning monster” by today’s standards (e.g., Tesla HW3 ~72 TOPS). Its strength is deterministic, low‑latency vision processing with dedicated hardware for computer vision algorithms (not just CNNs). The datasheet warns that "debugging via JTAG while

For hardware engineers, software architects, and automotive procurement specialists, the is not just a document—it is the foundational blueprint for building advanced driver-assistance systems (ADAS). It contains critical specifications regarding power consumption, thermal limits, I/O interfaces, vision processing capabilities, and safety certifications.

What makes the EyeQ4 datasheet particularly interesting is its highly specialized, heterogeneous core architecture. Instead of relying on a power-hungry generic CPU or a massive GPU, Mobileye used a mix of highly specific hardware accelerators to ensure "the right core handles the right task": Multi-threaded CPUs

However, for new L3/L4 designs, you should request the .