NXP
i.MX RT1062 Edge AI Guides
1024 KB SRAM at 600 MHz with double-precision FPU and L1 cache. Most popular i.MX RT variant (Teensy 4.x). Excellent ML inference performance approaching low-end MPU territory.
Hardware Specs
| Processor | ARM Cortex-M7 @ 600 MHz |
| Cores | 1 |
| Clock | 600 MHz |
| SRAM | 1024 KB |
| Flash | 8 MB |
| FPU | double |
| Connectivity | Ethernet, USB OTG HS/FS |
| Key Features | Crossover MCU (600 MHz Cortex-M7), 1 MB on-chip SRAM (double of RT1052), L1 cache (32 KB I + 32 KB D), FlexRAM (configurable ITCM/DTCM/OCRAM), No on-chip flash (external QSPI/HyperFlash) |
| Price | $6–$12 (chip), $25–$40 (dev board) |
Dev Boards in This Family
4 edge-AI-capable i.MX RT1062 development boards with specs and compatibility details.
Hardware Guides
i.MX RT1062 Anomaly Detection with CMSIS-NN
NXP's i.MX RT1062 excels at anomaly detection via CMSIS-NN. The 1-core cortex-m7 at 600 MHz with 1024 KB SRAM handles 15 KB quantized models…
i.MX RT1062 Anomaly Detection with TFLite Micro
For anomaly detection, the i.MX RT1062 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (32.0x the required 32 KB) and 600 MHz …
i.MX RT1062 Fall Detection with CMSIS-NN
The i.MX RT1062 is an excellent match for fall detection with CMSIS-NN. 1024 KB SRAM delivers 16.0x the 64 KB minimum while 600 MHz processe…
i.MX RT1062 Fall Detection with TFLite Micro
The i.MX RT1062 is an excellent match for fall detection with TFLite Micro. 1024 KB SRAM delivers 16.0x the 64 KB minimum while 600 MHz proc…
i.MX RT1062 Gesture Recognition with CMSIS-NN
NXP's i.MX RT1062 excels at gesture recognition via CMSIS-NN. The 1-core cortex-m7 at 600 MHz with 1024 KB SRAM handles 20 KB quantized mode…
i.MX RT1062 Gesture Recognition with TFLite Micro
For gesture recognition, the i.MX RT1062 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (16.0x the required 64 KB) and 600 MH…
i.MX RT1062 Image Classification with CMSIS-NN
For image classification, the i.MX RT1062 with CMSIS-NN scores Excellent. Its 1024 KB internal SRAM (8.0x the required 128 KB) and 600 MHz c…
i.MX RT1062 Image Classification with TFLite Micro
The i.MX RT1062 is an excellent match for image classification with TFLite Micro. 1024 KB SRAM delivers 8.0x the 128 KB minimum while 600 MH…
i.MX RT1062 Object Detection with CMSIS-NN
The i.MX RT1062 is an excellent match for object detection with CMSIS-NN. 1024 KB SRAM delivers 4.0x the 256 KB minimum while 600 MHz proces…
i.MX RT1062 Object Detection with TFLite Micro
For object detection, the i.MX RT1062 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (4.0x the required 256 KB) and 600 MHz c…
i.MX RT1062 People Counting with CMSIS-NN
NXP's i.MX RT1062 excels at people counting via CMSIS-NN. The 1-core cortex-m7 at 600 MHz with 1024 KB SRAM handles 200 KB quantized models …
i.MX RT1062 People Counting with TFLite Micro
For people counting, the i.MX RT1062 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (5.3x the required 192 KB) and 600 MHz cl…
i.MX RT1062 Predictive Maintenance with CMSIS-NN
For predictive maintenance, the i.MX RT1062 with CMSIS-NN scores Excellent. Its 1024 KB internal SRAM (16.0x the required 64 KB) and 600 MHz…
i.MX RT1062 Predictive Maintenance with TFLite Micro
For predictive maintenance, the i.MX RT1062 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (16.0x the required 64 KB) and 600…
i.MX RT1062 Sound Classification with CMSIS-NN
The i.MX RT1062 is an excellent match for sound classification with CMSIS-NN. 1024 KB SRAM delivers 16.0x the 64 KB minimum while 600 MHz pr…
i.MX RT1062 Sound Classification with TFLite Micro
For sound classification, the i.MX RT1062 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (16.0x the required 64 KB) and 600 M…
i.MX RT1062 Voice Recognition with CMSIS-NN
NXP's i.MX RT1062 excels at voice recognition via CMSIS-NN. The 1-core cortex-m7 at 600 MHz with 1024 KB SRAM handles 80 KB quantized models…
i.MX RT1062 Voice Recognition with TFLite Micro
The i.MX RT1062 is an excellent match for voice recognition with TFLite Micro. 1024 KB SRAM delivers 8.0x the 128 KB minimum while 600 MHz p…
i.MX RT1062 Wildlife Monitoring with CMSIS-NN
For wildlife monitoring, the i.MX RT1062 with CMSIS-NN scores Excellent. Its 1024 KB internal SRAM (8.0x the required 128 KB) and 600 MHz cl…
i.MX RT1062 Wildlife Monitoring with TFLite Micro
For wildlife monitoring, the i.MX RT1062 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (8.0x the required 128 KB) and 600 MH…
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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 RT1064
NXP
1024 KB RAM · 600 MHz
LPC55xx
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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
RA6M5
Renesas
512 KB RAM · 200 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 i.MX RT1062 Edge AI with ForestHub
The i.MX RT1062 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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