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Renesas

RA6M5 Edge AI Guides

512 KB SRAM at 200 MHz with Cortex-M33, TrustZone, and DSP. High RAM + clock speed combination enables complex ML models with hardware-secured inference.

Hardware Specs

Processor ARM Cortex-M33 @ 200 MHz
Cores 1
Clock 200 MHz
SRAM 512 KB
Flash 2 MB
FPU single
Connectivity Ethernet, USB HS
Key Features TrustZone hardware security, Renesas Secure Crypto Engine (SCE9), High-speed Cortex-M33 (200 MHz), QSPI for external memory expansion
Price $6–$12 (chip), $25–$50 (dev board)

Dev Boards in This Family

1 edge-AI-capable RA6M5 development boards with specs and compatibility details.

Arduino Portenta C33

Arduino

511 KB RAM · 200 MHz

Hardware Guides

RA6M5 Anomaly Detection with CMSIS-NN

Excellent

The RA6M5 is an excellent match for anomaly detection with CMSIS-NN. 512 KB SRAM delivers 16.0x the 32 KB minimum while 200 MHz processes 15…

RA6M5 Anomaly Detection with TFLite Micro

Excellent

For anomaly detection, the RA6M5 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (16.0x the required 32 KB) and 200 MHz clock e…

RA6M5 Fall Detection with CMSIS-NN

Excellent

For fall detection, the RA6M5 with CMSIS-NN scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 200 MHz clock ensure sm…

RA6M5 Fall Detection with TFLite Micro

Excellent

Renesas's RA6M5 excels at fall detection via TFLite Micro. The 1-core cortex-m33 at 200 MHz with 512 KB SRAM handles 20 KB quantized models …

RA6M5 Gesture Recognition with CMSIS-NN

Excellent

For gesture recognition, the RA6M5 with CMSIS-NN scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 200 MHz clock ensu…

RA6M5 Gesture Recognition with TFLite Micro

Excellent

Renesas's RA6M5 excels at gesture recognition via TFLite Micro. The 1-core cortex-m33 at 200 MHz with 512 KB SRAM handles 20 KB quantized mo…

RA6M5 Image Classification with CMSIS-NN

Good

Running image classification on the RA6M5 with CMSIS-NN is practical. 512 KB SRAM meets the 128 KB minimum with 4.0x headroom. The 200 MHz c…

RA6M5 Image Classification with TFLite Micro

Good

Renesas's RA6M5 is a solid choice for image classification using TFLite Micro. The cortex-m33 core at 200 MHz with 512 KB SRAM accommodates …

RA6M5 Object Detection with CMSIS-NN

Good

Renesas's RA6M5 is a solid choice for object detection using CMSIS-NN. The cortex-m33 core at 200 MHz with 512 KB SRAM accommodates 250 KB m…

RA6M5 Object Detection with TFLite Micro

Good

The RA6M5 handles object detection effectively with TFLite Micro. 512 KB SRAM at 200 MHz provides 2.0x headroom over the 256 KB requirement …

RA6M5 People Counting with CMSIS-NN

Good

Renesas's RA6M5 is a solid choice for people counting using CMSIS-NN. The cortex-m33 core at 200 MHz with 512 KB SRAM accommodates 200 KB mo…

RA6M5 People Counting with TFLite Micro

Good

Renesas's RA6M5 is a solid choice for people counting using TFLite Micro. The cortex-m33 core at 200 MHz with 512 KB SRAM accommodates 200 K…

RA6M5 Predictive Maintenance with CMSIS-NN

Excellent

Renesas's RA6M5 excels at predictive maintenance via CMSIS-NN. The 1-core cortex-m33 at 200 MHz with 512 KB SRAM handles 30 KB quantized mod…

RA6M5 Predictive Maintenance with TFLite Micro

Excellent

For predictive maintenance, the RA6M5 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 200 MHz clo…

RA6M5 Sound Classification with CMSIS-NN

Excellent

The RA6M5 is an excellent match for sound classification with CMSIS-NN. 512 KB SRAM delivers 8.0x the 64 KB minimum while 200 MHz processes …

RA6M5 Sound Classification with TFLite Micro

Excellent

For sound classification, the RA6M5 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 200 MHz clock…

RA6M5 Voice Recognition with CMSIS-NN

Excellent

For voice recognition, the RA6M5 with CMSIS-NN scores Excellent. Its 512 KB internal SRAM (4.0x the required 128 KB) and 200 MHz clock ensur…

RA6M5 Voice Recognition with TFLite Micro

Excellent

Renesas's RA6M5 excels at voice recognition via TFLite Micro. The 1-core cortex-m33 at 200 MHz with 512 KB SRAM handles 80 KB quantized mode…

RA6M5 Wildlife Monitoring with CMSIS-NN

Good

Running wildlife monitoring on the RA6M5 with CMSIS-NN is practical. 512 KB SRAM meets the 128 KB minimum with 4.0x headroom. The 200 MHz co…

RA6M5 Wildlife Monitoring with TFLite Micro

Good

Running wildlife monitoring on the RA6M5 with TFLite Micro is practical. 512 KB SRAM meets the 128 KB minimum with 4.0x headroom. The 200 MH…

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Orchestrate RA6M5 Edge AI with ForestHub

The RA6M5 runs inference on-device. ForestHub on your Linux edge gateway ingests its results over MQTT, orchestrates the sense-reason-act loop as a deterministic, auditable graph, and acts on the line.

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