- New Products
- Sales
- All Products
- Arduino >
- LattePanda >
- FireBeetle (ESP32 / ESP8266) >
- Internet of Things - IoT >
- Development Boards > Development Boards
- Raspberry Pi >
- micro:bit >
- Sensors > SensorsLiquid SensorsAir SensorsLiDARRange & Distance SensorsTemperature & Humidity SensorInteractive SensorsLight & Imaging SensorsMagnetic SensorsMotion SensorsPotentiometersCurrent SensorsPressure SensorsFlex SensorsSensor SetGPSIMU SensorsSound SensorsSwitches & ButtonsWeight Sensorse-Health SensorsEncodersOthers
- Gravity >
- Modules >
- Kits >
- Prototyping & Accessories >
- Artificial Intelligence Hardware >
- Robotics >
- Fermion >
- STEM Education >
- Boson >
- PCB Manufacturing
Selection Guide for LattePanda V1 & LattePanda 2 Alpha & LattePanda 3 Delta
LattePanda is a high-performance, pocket-sized x86 single board computer with low power consumption that runs full Windows 10 / 11 or Linux operating system. In this article, we will introduce you to the features and specifications of each generation of LattePanda: LattePanda V1, LattePanda 2 Alpha, LattePanda 3 Delta making it easier for you to choose the LattePanda SBC that suits your needs.
The 3rd generations of LattePanda 3 Delta have been released. LattePanda 3 Delta is powered by the Intel N5105 quard-core processor. With the Intel turbo boost technology, it can reach speeds of up to 2.9 GHz and features 2x faster CPU (CPU Benchmark 793) and 3x faster GPU than its previous gen.
LattePanda series single board computer also supports special customization. If you have any specific requirements, please feel free to contact [email protected]. The LattePanda team is dedicated to providing prompt and professional support to cater to your customization needs.
Product
Picture
Slogan
The Smallest and Cheapest Windows SBC
Powerful Pocket-sized Windows SBC
The Fastest Pocket-sized Windows SBC
Cost-Effective Pocket-sized Windows SBC
Processor
Intel Atom® x5-Z8350
Intel® Core™ i5-8210Y
Intel® Celeron® N5105
Intel® Celeron® N4100
CPU Spec
4-Core,4-Thread 1.44 ~ 1.92GHz
2-Core,4-Thread 1.6~3.6GHz
4-Core,4-Thread 2.00 ~ 2.90GHz
4-Core,4-Thread 1.10 ~ 2.40GHz
CPU Benchmark (Cinebench R20)
165
690
793
370
Memory
2GB/4GB DDR3L 1600MHz
8GB LDPPR3 1600MHz
8GB LPDDR4 2933MHz
4GB LPDDR4 2400MHz
Storage
32GB/64GB eMMC
64GB eMMC
64GB eMMC
32GB eMMC
Wireless
802.11n, 2.4G, up to 150Mbps Bluetooth 4.0
802.11 ac, 2.4G & 5G, up to 433Mbps Bluetooth 4.2
802.11ax, 2.4G & 5G(160MHz), Up to 2.4Gbps Bluetooth 5.2
802.11 ac, 2.4G & 5G, up to 433Mbps Bluetooth 5.0
USB Ports
1x USB 3.0 Type-A 2x USB 2.0 Type-A
3x USB 3.0 Type-A 1x USB 3.0 Type-C
1x USB 3.1 Type-A 2x USB 3.0 Type-A 1x USB 2.0 Type-C
3x USB 3.0 Type-A 1x USB 3.0 Type-C
Video
HDMI: Up to 1080P MIPI-DSI: Up to 1080P
HDMI: Up to 4K DP(via USB-C): Up to 4K eDP: Up to 1080P
HDMI: Up to 4K HDR DP(via USB-C): Up to 4K HDR eDP: Up to 1080P
HDMI: Up to 4K DP(via USB-C): Up to 4K eDP: Up to 1080P
M.2 Sockets
None
M.2 Key E: Suppot WiFi/BT Module M.2 Key M: Support NVME SSD, SATA SSD
M.2 Key B: Support 4G module, 5G module, SATA SSD M.2 Key M: Support NVME SSD
M.2 Key E: Suppot WiFi/BT Module M.2 M.2 Key M: Support NVME SSDKey M: Support NVME SSD
Operating System
Windows 10 Linux
Windows 10 Linux
Windows 10, Windows 11 Linux
Windows 10 Linux
Dimension
88mm*70mm*22mm
115mm*78mm*14mm
125mm*78mm*16mm
115mm*78mm*14mm
Recommend
Suitable for projects with lower performance requirements and limited budget and dimension
Suitable for projects with high performance requirements but with limited dimension
Suitable for projects with extreme performance requirements but with limited dimension
Suitable for projects with performance requirements but with limited budget and dimension
Add to Cart
Add to Cart
Add to Cart
Add to Cart
Add to Cart
Sales status
In stock
In stock
In stock
Discontinued
Below, we will recommend some interesting projects related to LattePanda 3 Delta.
Project 1: AI-driven IoT Shopping Assistant Based on LattePanda and ChatGPT
Introduction: This author wanted to build a budgetfriendly and accessible AIoT shopping assistant utilizing the most common and recognizable product identification method — barcodes — to bring AI-based e-commerce features to physical store shopping.
Project 2: LattePanda Portable Music Studio
Introduction: In order to be able to record from home or on location author wanted to create a portable setup that acted as a ‘studio in a box’.
Project 3: WOW! Making a Mini PC Setup | Mini Apple Mac Pro
Introduction: Hey Guys, in this video I'll show you how i made this Mini Computer and i try to give it the look of an Apple Mac Pro. i hope you will like it.
If you are interested in our LattePanda series and want to learn more information on the featured projects, accessories, and updates regarding the LattePanda series, you can visit our official LattePanda website.
This article will explore how to install and run Qwen2.5 on a Raspberry Pi 5 using the Ollama runtime framework.
REVIEWS Raspberry Pi
In this article, we will delve into the process of installing and running the SLM(small language model) Gemma2 on the Single Board Computer (SBC) Raspberry Pi 5 using the Ollama runtime framework.
REVIEWS Raspberry Pi
In this write-up, we delve into the process of installing and executing phi3.5-3.8b on a Raspberry Pi 5, leveraging the Ollama runtime framework.
REVIEWS Raspberry Pi