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MIMX8ML4DVNLZAB
+物料清單IC MPU I.MX8ML 1.8GHZ 548LFBGA
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製造商恩智浦美國股份有限公司。
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製造商部分 #MIMX8ML4DVNLZAB
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規格
| 屬性 | 價值 |
| 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 | HDMI, LVDS, MIPI-CSI, MIPI-DSI |
| Ethernet | GbE (2) |
| USB | USB 2.0 + PHY (2), USB 3.0 + PHY (2) |
| Operating Temperature | 0°C ~ 95°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 |
概述
Description
Key features include an integrated neural processing unit (NPU) for machine learning tasks, capable of 2.3 TOPS (Tera Operations Per Second), making it suitable for edge computing and AI applications. It also supports video processing with 1080p video encode/decode capabilities, enhancing multimedia performance.
Additionally, the MIMX8ML4DVNLZAB offers extensive connectivity options, including Ethernet, USB, and PCIe interfaces, and incorporates robust security features such as secure boot and hardware-based encryption, ensuring data integrity and protection. Its versatile architecture makes it ideal for applications in industrial automation, smart home devices, and multimedia systems, among others.
Equivalent
1. Texas Instruments AM57x series, known for similar multimedia and performance features.
2. Renesas RZ/G2 series, which targets embedded and industrial applications with AI capabilities.
3. NVIDIA Jetson Nano, for AI-focused, cost-effective applications.
4. Rockchip RK3399, offering similar processing power for multimedia applications.
These alternatives match the i.MX 8M Plus in terms of AI, multimedia, and embedded use cases.
Features
1. Processor: Quad-core Arm Cortex-A53, with a Cortex-M7 core for real-time processing.
2. Neural Processing Unit (NPU): Up to 2.3 TOPS for AI/ML acceleration.
3. Vision and Multimedia: Image signal processor (ISP) for camera inputs, video encode/decode capabilities supporting 1080p resolution.
4. Connectivity: Supports multiple interfaces like Ethernet, USB, PCIe, and various I/O options.
5. Memory: Integrated LPDDR4 memory controller.
6. Security: Features a suite of security capabilities, including secure boot and cryptographic functions.
7. Temperature Range: Suitable for industrial applications with wide operating temperature support.
8. Power Management: Efficient power management for embedded applications.
These features make the MIMX8ML4DVNLZAB suitable for edge computing, smart home devices, industrial controls, and other advanced embedded systems.
Pinout
The functions of the MIMX8ML4DVNLZAB include:
1. Processing: It features a quad-core Arm Cortex-A53 processor with a Cortex-M7 core for real-time tasks.
2. Graphics: Integrated GPU for 3D graphics acceleration.
3. Machine Learning: Includes a Neural Processing Unit for AI and machine learning tasks.
4. Multimedia: Supports video, audio, and voice processing.
5. Connectivity: Offers interfaces such as Ethernet, USB, and PCIe.
6. Security: Provides robust security features for secure boot and communications.
7. Memory Interfaces: Supports LPDDR4/LPDDR4X RAM and eMMC/NAND flash.
These functionalities make it suitable for use in applications like smart home devices, industrial automation, and more.
Manufacturer
Application
1. Smart Home Devices: Facilitating voice and facial recognition for home automation systems.
2. Industrial Automation: Enabling machine vision and predictive maintenance in manufacturing settings.
3. Healthcare: Supporting real-time monitoring and diagnostic imaging devices.
4. Retail: Enhancing customer experience through intelligent kiosks and digital signage.
5. Security and Surveillance: Offering advanced video analytics and object detection.
These applications leverage the processor's capabilities in machine learning, image processing, and connectivity.