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RZ/V2N Series: R9A09G056N44GBG Quad-Core Vision AI MPU, 15TOPS, Dual Camera, Energy Efficient

RZ/V2N Series: R9A09G056N44GBG Quad-Core Vision AI MPU, 15TOPS, Dual Camera, Energy Efficient

Source:our siteTime:2025-07-28Views:

The R9A09G056N44GBG is a quad-core Arm Cortex-A55 microprocessor (MPU) launched by (Renesas), belonging to the RZ/V2N series, specifically designed for high-efficiency AI processing and visual applications. The following are its core features:Cortex-A…

The R9A09G056N44GBG is a quad-core Arm Cortex-A55 microprocessor (MPU) launched by (Renesas), belonging to the RZ/V2N series, specifically designed for high-efficiency AI processing and visual applications. The following are its core features:

Cortex-A55 (1.8GHz) x 4 cores

Cortex-M33 (200MHz) x 1 core

AI Accelerator DRP-AI

Arm Mali™-C55 ISP (Optional)

1.5MB on-chip SRAM

LPDDR4/LPDDR4X memory interface

Gigabit Ethernet interface × 2

USB 2.0 interface x 1 (Host/Function)

USB 3.2 (Gen2) interface x 1 (Host only)

PCIe interface (Gen3/2 line) x 1

MIPI CSI-2 Camera interface x 2

CAN Interface (CAN FD) x 6

AD converter × 24

BGA package (15x15mm 840 pins, 0.5mm pitch)


Block diagram of R9A09G056N44GBG

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Product Description

The R9A09G056N44GBG is a visual AI microprocessor (MPU) belonging to the RZ/V2N series, equipped with Renesas Electronics' proprietary AI accelerator (DRP-AI3), supporting up to 15TOPS of AI performance. Its CPU is a quad-core Arm® Cortex®-A55 (1.8GHz) and Arm Cortex-M33 (200MHz). The RZ/V2N is equipped with an ISP (Image Signal Processor) and a dual-channel MIPI® CSI-2® camera interface, which can support dual-camera signal processing, which is crucial for the realization of a vision system.


In addition, the R9A09G056N44GBG is also equipped with high-speed interfaces such as PCIe® and USB 3.2, allowing for the expansion of external devices. The R9A09G056N44GBG is an ideal microprocessor, suitable for applications that require low power consumption and advanced artificial intelligence inference, such as DMS (Driver Monitoring System), surveillance cameras, mobile robots, etc.


Application scenarios

R9A09G056N44GBG is mainly used in low-power AI scenarios, including:

Dashboard camera/driver monitoring system

AI surveillance camera

AI personnel count cameras

AI visual detection camera

Sweeping robot

Lawn mowing robot

Smart doorbell

Access Control


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