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Orange Pi Compute Module 4 with 2GB Ram 32GB eMMc Core Board Support 4K HD Display Integrated RKNN NPU AI Accelerator
KWD 27
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Experience high performance and speed with the Orange CM4 CoreBoard powered by Rockchip RK3566!
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What Stands Out
Product Details
| Brand Name | APBVIHL |
| Box Contents | Orange Pi CM4 |
| Country of Origin | China |
| Manufacturer | ChipBoard Supplier |
| Model Number | 2G32G CoreBoard |
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
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AI Developers
Ideal for developers working on AI projects, leveraging the integrated NPU for efficient neural network processing.
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Embedded Systems
Great for users building custom embedded systems requiring compact design and high-performance processing capabilities.
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Media Applications
Perfect for media enthusiasts needing 4K HD output for video applications or digital signage solutions.
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Casual Users
Not suitable for general consumers looking for a plug-and-play home device without technical expertise.
Product Description
Orange Pi Compute Module 4 with 2GB Ram 32GB eMMc Core Board Support 4K HD Display Integrated RKNN NPU AI Accelerator
Customer Questions & Answers
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Question:
What operating systems does the Orange CM4 CoreBoard support?
Answer: It supports Android 11, Ubuntu 22.04, Ubuntu 20.04, Debian 11, Debian 12, OpenHarmony 4.0 Beta1, and more. -
Question:
What is the maximum video resolution supported?
Answer: The board supports 4K video decoding at 60fps. -
Question:
What type of AI performance can I expect from the RKNN NPU?
Answer: You can expect 0.8Tops@INT8 performance with support for popular AI architectures.
APBVIHL Single-Board Computers & Accessories 2G32G CoreBoard Editorial Review
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KWD 27
Order now and get it around Wednesday, September 16
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Features & Benefits
- High performance with Quad-Core 64-bit Cortex-A55 processor.
- Speed up to 1.8GHz and advanced 22nm process technology.
- Features integrated RKNN NPU for AI acceleration with 0.8Tops@INT8 performance.
- Supports 4K video decoding and multiple video encoding formats.
- Compatible with various operating systems including Android 11 and Ubuntu.
- Compact size of 55X40mm makes it versatile for different projects.
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