Development Board
ST Nucleo F722ZE
by ST
Cortex-M7 with 256 KB SRAM, double-precision FPU, and cache provides strong ML inference capability
Board Specifications
| Clock Speed | 216 MHz |
| SRAM | 256 KB |
| Flash | 512 KB |
| Connectivity | can |
| Supported Frameworks | arduino, cmsis, stm32cube, libopencm3 |
| MCU Family | STM32F7 (STMicroelectronics) |
| Platform | ststm32 |
Data synced from PlatformIO registry on 2026-04-01
View source on GitHub ↗
Hardware Guides for STM32F7
STM32F7 Anomaly Detection with CMSIS-NN
Excellent
STM32F7 Anomaly Detection with TFLite Micro
Excellent
STM32F7 Fall Detection with CMSIS-NN
Excellent
STM32F7 Fall Detection with TFLite Micro
Excellent
STM32F7 Gesture Recognition with CMSIS-NN
Excellent
STM32F7 Gesture Recognition with TFLite Micro
Excellent
Explore More
Orchestrate ST Nucleo F722ZE Edge AI with ForestHub
The ST Nucleo F722ZE 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