- Machine Learning Accelerator 0,5 TOPS
- Integrated Cortex®-M33
- High-speed communication via 2x Gbit Ethernet (1x TSN), 2x USB 2.0 interface
- Low power consumption (typ. 2W)
- Integrated security functions
The TQMa93xxCA based on the i.MX 93xx supports with many features and an integrated NPU (Neural Processor Unit) with up to 0,5 TOPS a in the implementation of applications where artificial intelligence, machine learning/vision is to be applied.
A GPU and several graphic interfaces are available for graphically demanding applications. For real-time and security the CPU is supported by a Cortex M33 controller.
CPU/Processor data
CPU/Processor:
- Cortex®-A55 – Up to 1,7GHz
CPU variant:
- i.MX 93×1 Single Core
- i.MX 93×2 Dual Core
Memory
LPDDR4:
- Up to 2 GB
Quad SPI NOR:
- Up to 256 MB
eMMC:
- Up to 256 GB
EEPROM:
- 0/64-kbit
Graphics
Graphic interface:
- LCD Interface: 1x MIPI DSI (4 Lanes), 1x LVDS (4 Lanes)
Camera interface:
- 1x MIPI CSI2 (2 Lanes)
Communication interfaces
Ethernet:
- Up to 2x Gbit-Ethernet (1x TSN)
USB:
- Up to 2x USB 2.0
CAN:
- Up to 2x CAN FD
Serial Ports:
- Up to 2x UART
Other interfaces
SD Card:
- Up to 3x SDIO / eMMC
I2C:
- Up to 8x I²C
SPI:
- Up to 8x SPI
- Up to 1x QSPI
I2S:
- Up to 7x I²S
Audio:
- Up to 8x PDM Mic.
- Up to 1x SPDIF
Debug:
- JTAG
Other functions
RTC:
- Real Time Clock (RTC)
Secure Element:
- SE050 (optional)
General:
- Temperature sensor
- Gyroscope sensor (optional)
General data/basic data
Dimensions:
- 54mm x 32mm
Temperature range:
- Standard temperature range: -25°C…+85°C
- Extended temperature range: -40°C…+85°C
Plug-in System:
- 240 pins 0,5 mm Pitch Connector
Power supply:
- 5 V
OS-Support
OS Support:
- Linux
- Free RTOS
