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MIMX8ML6CVNKZAB
+Lista de MateriaisIC MPU I.MX8ML 1.8GHZ 548LFBGA
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FabricanteNXP USA Inc.
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Peça do Fabricante #MIMX8ML6CVNKZAB
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Em Estoque8405
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Especificações
| Atributo | Valor |
| Series | i.MX8ML |
| Part Status | Active |
| Core Processor | ARM® Cortex®-A53 |
| Number of Cores / Bus Width | 4 Core, 64-Bit |
| Speed | 1.8GHz |
| Co - Processors / DSP | ARM® Cortex®-M7, Multimedia; NEON™ MPE, Hi-Fi4 DSP |
| RAM Controllers | DDR4, LPDDR4 |
| Graphics Acceleration | Yes |
| Display & Interface Controllers | HTML, LVDS, MIPI-CSI, MIPI-DSI |
| Ethernet | GbE (2) |
| USB | USB 2.0 + PHY (2), USB 3.0 + PHY (2) |
| Operating Temperature | -40°C ~ 105°C (TJ) |
| Security Features | ARM TZ, CAAM, RDC |
| Mounting Type | Surface Mount |
| Package / Case | 548-LFBGA |
| Supplier Device Package | 548-LFBGA (15x15) |
| Additional Interfaces | CAN, I2C, I2S, PCIe, SD/SDIO, SPI, UART |
Visão Geral
Description
Key features of the MIMX8ML6CVNKZAB include a quad-core Arm Cortex-A53 CPU, a Cortex-M7 core for real-time tasks, and a dedicated Neural Processing Unit (NPU) for AI and machine learning workloads. The NPU allows for efficient on-device processing, enabling applications such as image recognition and natural language processing without the need for constant cloud connectivity.
The processor also supports advanced multimedia capabilities, including video decoding/encoding, high-resolution displays, and audio processing. Integrated connectivity options, such as Ethernet, Wi-Fi, and Bluetooth, make it versatile for various applications. Additionally, it offers robust security features to protect data and ensure secure operations, crucial for connected devices in modern environments.
Equivalent
1. Texas Instruments AM62x - Designed for similar applications with AI capabilities.
2. Rockchip RK3399 - A hexa-core processor with multimedia capabilities.
3. Renesas RZ/G2 - A series of microprocessors designed for similar applications.
4. Qualcomm Snapdragon 600 series - Offers multimedia processing features.
These alternatives focus on similar multimedia and AI applications.
Features
1. CPU: Quad-core Arm Cortex-A53 processor operating at up to 1.8 GHz.
2. Neural Processing: Integrated NPU (Neural Processing Unit) with 2.3 TOPS for accelerating machine learning and AI tasks.
3. Graphics: Integrated GPU, Arm Mali-G52, for advanced graphics processing.
4. Vision: Image Signal Processor (ISP) supports up to 12-14 bit cameras with HDR functionality.
5. Memory: Supports LPDDR4/DDR4 running at up to 3,200 MT/s.
6. Connectivity: Multiple interfaces including Gigabit Ethernet with TSN, USB 3.0, PCIe, and more.
7. Audio: Advanced audio processing with HiFi 4 DSP.
8. Security: Features NXP’s EdgeLock secure enclave for robust security.
9. Power Management: Designed for low-power consumption, suitable for edge applications.
10. Operating Temperature: Supports a range suitable for industrial environments.
This processor is ideal for applications requiring sophisticated multimedia capabilities and AI performance at the edge.
Pinout
In terms of functionality, the i.MX 8M Plus processor integrates a quad-core Arm Cortex-A53 CPU, a Cortex-M7 core for real-time processing, and a Neural Processing Unit (NPU) for accelerating machine learning tasks. It also includes a variety of interfaces and peripherals, such as USB, PCIe, Ethernet, and I2C, among others, which facilitate connectivity and expandability. The processor is designed to support advanced multimedia capabilities, including video encoding and decoding, with integrated image processing capabilities ideal for smart devices, industrial applications, and IoT solutions.
Manufacturer
Application
1. Smart Home Devices: Enables advanced features like voice and facial recognition for smart appliances and home automation systems.
2. Industrial Automation: Supports edge computing and AI, improving robotics, and predictive maintenance.
3. Healthcare: Facilitates medical imaging, patient monitoring, and diagnostic devices.
4. Retail and IoT: Powers smart kiosks, digital signage, and inventory management systems.
5. Automotive: Enhances infotainment systems, driver monitoring, and ADAS.
These applications benefit from its machine learning capabilities, vision processing, and efficient power management.