NEITH i.MX93 OSM SOM MAS
NEITH i.MX93 OSM SOM MAS
APPLICATION SECTOR: MEDICAL, INDUSTRIAL, Artificial Intelligence, Machine Learning
MAS Electronics is proud to introduce NEITH i.MX93 the new product dedicated to NXP’s i.MX93 family a 1.7 GHz dual-core ARM Cortex-A55™ processor integrated with a 0.5 TOP/s NPU that greatly accelerates machine learning inference. For industrial applications, real-time control is enabled by an integrated 250 MHz Arm® Cortex®-M33. The SoM complies with the OSM (Open Standard Module™) OSM Size-S specification.
Its main features are:
- Dual-core ARM Cortex-A55 CPU, 1.7GHz
- LPDDR4x x16 fino a 2Gbyte
- eMMC: 8 GiB (optional: up to 256 GB)
- Form factor: OSM Size-S, 30x30mm
- 1080p60 MIPI-DSI (4-lane, 1.5Gbps/lane) with PHY
- 720p60 LVDS (4-lane)
- Ethernet: 2xRGMII 10/100/1000Mbps
SPECIFICATIONS
CPU
CPU: NXP i.MX 93
Type: Cortex-A55 + Cortex-M33 Armv8 64-Bit CPU cores
Cores: 2 Core Cortex-A55 + 1 Core Cortex-M33
CPU Clock (Max): 1.7GHz
Variants:
- i.MX 9352: dual-core, with NPU, 1.7GHz
- i.MX 9332: dual-core, 1.7GHz
- i.MX 9351: single-core, with NPU, 1.7GHz
- i.MX 9331: single-core, 1.7GHz
- i.MX 9302: dual-core, 900 MHz
- i.MX 9301: single-core, 900 MHz
Processors:
- ARM Cortex-M33 Real Time Processor a 250MHz
- ARM Ethos-U65 microNPU with 256 MACs/Cycle
MEMORY AND STORAGE
RAM: LPDDR4x x16 up to 2Gbyte
MEMORY: 2x MMC/SD/SDIO
VIDEO
MIPI-DSI: 1080p60 resolution, 4-lane, 1.5Gbps/lane with PHY
LVDS: 720p60 resolution, 4-lane
MIPI-CSI: 1080p60 resolution, 2-lane, 1.5Gbps/lane with PHY
CONNECTIVITY
20x GPIO, Configurable as inputs and outputs and interrupts
Up to 4x UART ports; 2x I2C; 2x SPI
2x CAN-FD /CAN 2.0B
4x Analog in 1,8V
1x USB 2.0 Host/Client, 1x USB 2.0 Host
SOFTWARE SUPPORT
YOCTO KIRKSTONE
MECHANICAL SPECIFICATIONS
Dimensions: 30 x 30 mm
322-pin connector
ELECTRICAL SPECIFICATIONS
Power Supply: 5V +/- 5%
Power Consumption: 500mW – 2W typical
TEMPERATURE SPECIFICATIONS
Commercial: 0 to +70°C
Industrial: -40 to +85°C
LONGEVITY
15 Years
DOCUMENTATION
AREAS OF APPLICATION
INDUSTRIAL
MEDICALE
ARTIFICIAL INTELLIGENCE
