Latte Panda Sigmastarted today by latte panda team Starting at $579, it boosts the power of the LattePanda 3 Delta with a Raptor Lake-based CPU, 16GB of LPDDR5, and an Intel Iris Xe GPU. All of this makes it a much more powerful machine than the LattePanda 3 Delta or the Raspberry Pi 4.
The LattePanda 3 Delta is already an impressive board, much more powerful than the Raspberry Pi 4. But Sigma’s specs blow the Delta solid out of the water.
The selection of the 13th Gen Intel Raptor Lake Core i5-1340P (12 cores, 16 threads) is a significant upgrade from the quad-core Intel Celeron N5105 found in the LattePanda 3 Delta. The GPU also saw an upgrade, now featuring an Intel Iris Xe GPU with 80 execution units and up to 1.45 GHZ, compared to Delta’s rather mediocre Intel UHD GPU running at 450-800 MHz.
Sigma’s RAM upgrades are also welcome. The 8GB of LPDDR4 RAM provided by Delta was more than enough for most tasks, but the 16GB of LPDDR5 running at 6400 MHz was a big performance boost for all projects.
But what the two do share is an onboard Arduino Leonardo compatible coprocessor, this time along the short side of the board. In my review of the LattePanda 3 Delta, I liked the easy GPIO access and used the Arduino IDE and Python firmware to easily create a project. The Sigma seems to share the same pinout, not a true Arduino Uno pinout, but it works.
| CPU | Intel Core i5-1340P (12 Cores, 16 Threads. 12MB Cache. 4.6 GHz P Core, 3.4 GHz E Core |
| RAM | 16GB dual channel LPDDR5 6400MHz |
| GPUs | Intel Iris Xe Graphics, 80 Execution Units, up to 1.45 GHz |
| depository | M.2 NVMe/SATA SSDs |
| networking | 2 x 2.5GBe (Intel i225-V) |
| port | 2x USB 2.0, 2x USB 3.2, 2x Thunderbolt 4/USB C |
| screen | 1 x HDMI 2.1 up to 4096 x2304 @ 60Hz; |
| row 7 – cell 0 | DisplayPort over USB C up to 7680 x 4320 @ 60Hz |
| row 8 – cell 0 | eDP1.4b, up to 4096 x 2304 @120Hz |
| expansion slot | M.2 M-key: PCle 3.0×4, M.2 M-key: PCle 4.0×4 |
| row 10 – cell 0 | M.2 B Key: SATA/PCIe 3.0 |
| Row 11 – Cell 0 | USB header |
| coprocessor | Arduino Leonardo |
| operating system | Windows 11/10, Ubuntu 22.04 |
| size | 146×102mm |
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The LattePanda Sigma is touted as a “hackable single-board server with plenty of power,” but it’s not just for sitting in your office. The onboard Arduino Leonardo provides a GPIO interface that can be accessed via the USB-serial interface. With Arduino and Python code and a USB camera, you can easily build powerful machine learning/computer vision projects. Sure, the Sigma is bigger than the Raspberry Pi 4, but it’s easy to integrate into your robotics project. The CPU/GPU combination is powerful and can easily be used as a low-power desktop machine running four of his 4K displays simultaneously. To keep it cool, a combined heatsink and fan assembly occupies the top of the board, taking up more space than the LattePanda 3 Delta’s cooling solution.
Dual Thunderbolt 4 ports are an attractive proposition. You may benefit from faster data transfer speeds and possibly an external GPU. Games are possible. The Intel Iris Xe GPU managed a capable session of Call of Duty: Modern Warfare on the LattePanda 3 Delta, so it should be an easy task for Sigma.
LattePanda Sigma is now available Directly from DFRobotstarting at $579 for the base unit and $648 for the 500 GB SSD and Wi-Fi 6E module.
