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.
Hardware Guides
RA6M5 Anomaly Detection with CMSIS-NN
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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…
Other Microcontrollers
EFR32MG
Silicon Labs
256 KB RAM · 40 MHz
ESP32
Espressif
520 KB RAM · 240 MHz
ESP32-C3
Espressif
400 KB RAM · 160 MHz
ESP32-C6
Espressif
512 KB RAM · 160 MHz
ESP32-S2
Espressif
320 KB RAM · 240 MHz
ESP32-S3
Espressif
512 KB RAM · 240 MHz
GAP8
GreenWaves Technologies
512 KB RAM · 250 MHz
i.MX RT1052
NXP
512 KB RAM · 600 MHz
i.MX RT1062
NXP
1024 KB RAM · 600 MHz
i.MX RT1064
NXP
1024 KB RAM · 600 MHz
LPC55xx
NXP
320 KB RAM · 150 MHz
nRF52832
Nordic Semiconductor
64 KB RAM · 64 MHz
nRF52833
Nordic Semiconductor
128 KB RAM · 64 MHz
nRF52840
Nordic Semiconductor
256 KB RAM · 64 MHz
SAMD51
Microchip
256 KB RAM · 120 MHz
SAME51
Microchip
256 KB RAM · 120 MHz
STM32F3
STMicroelectronics
80 KB RAM · 72 MHz
STM32F4
STMicroelectronics
192 KB RAM · 168 MHz
STM32F7
STMicroelectronics
512 KB RAM · 216 MHz
STM32G4
STMicroelectronics
128 KB RAM · 170 MHz
STM32H5
STMicroelectronics
640 KB RAM · 250 MHz
STM32H7
STMicroelectronics
1024 KB RAM · 480 MHz
STM32L4
STMicroelectronics
128 KB RAM · 80 MHz
STM32L5
STMicroelectronics
256 KB RAM · 110 MHz
STM32U5
STMicroelectronics
786 KB RAM · 160 MHz
STM32WB
STMicroelectronics
256 KB RAM · 64 MHz
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.
Get Started Free