Quad-core processors with multi-threading (up to 4 threads per core). VMP Vector Microcode Processor
Detailed hardware integration data for the EyeQ4-Mid and EyeQ4-High includes: Flip-Chip FBGA with 784 pins . Dimensions: 22.5 mm x 22.5 mm x 1.7 mm.
The EyeQ4 utilizes a diverse set of specialized accelerators to handle complex computer vision and deep learning tasks efficiently. Description General Purpose Compute eyeq4 datasheet
The EyeQ4 is engineered to provide "super-computer" capabilities within a strictly constrained automotive power envelope.
Approximately 3 Watts , achieved through a high-efficiency 28nm FD-SOI (Fully Depleted Silicon On Insulator) manufacturing process. Quad-core processors with multi-threading (up to 4 threads
Support for vehicle detection from any angle and pedestrian/cyclist identification.
6 cores dedicated to VLIW and SIMD operations, ideal for short integral types in vision algorithms. Multi-threaded Processor Cluster The EyeQ4 utilizes a diverse set of specialized
Produced by STMicroelectronics using a proprietary 28nm process.
The following data summarizes the key specifications and architectural details typically found in an . Core Performance Specifications
Capable of processing up to 8 cameras simultaneously at 36 frames per second (fps). Architectural Overview