The LattePanda Sigma, launched at this time by the LattePanda crew from $579, improves upon the facility 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 way more highly effective machine than the LattePanda 3 Delta and the Raspberry Pi 4.
The LattePanda 3 Delta was already a powerful board, way more highly effective than a Raspberry Pi 4. Nevertheless, the specs for the Sigma blow the Delta firmly out of the water.
The selection of a Thirteenth-Gen Intel Raptor Lake Core i5-1340P (12 core, 16 threads) is an enormous improve from the quad-core Intel Celeron N5105 discovered within the LattePanda 3 Delta. The GPU additionally sees an improve, now sporting an Intel Iris Xe GPU with 80 execution models and as much as 1.45 GHZ, in comparison with the Delta’s now quite pedestrian Intel UHD GPU operating between 450 and 800 MHz.
The Sigma’s RAM improve can be welcome. Whereas the 8GB of LPDDR4 RAM afforded by the Delta was sufficient for many duties, 16GB of LPDDR5 operating at 6400 MHz means we might get an enormous efficiency increase for all initiatives.
What the 2 share, although, is an onboard Arduino Leonardo-compatible co-processor, which is positioned this time alongside the brief fringe of the board. In our evaluation of the LattePanda 3 Delta, we cherished the straightforward GPIO entry, and utilizing the Arduino IDE and Python firmware, we simply created initiatives. The Sigma appears to share the identical pin association, and whereas it is not a real Arduino Uno pinout, it’s practical.
| CPU | Intel Core i5-1340P (12 Core, 16 Thread. 12MB Cache. 4.6 GHz P-Core, 3.4 GHz E-Core |
| RAM | 16GB Twin-Channel LPDDR5 6400MHz |
| GPU | Intel Iris Xe Graphics, 80 Execution Models, as much as 1.45 GHZ |
| Storage | M.2 NVMe / SATA SSD |
| Networking | 2 x 2.5GBe (Intel i225-V) |
| Ports | 2 x USB 2.0, 2 x USB 3.2, 2 x Thunderbolt 4 / USB C |
| Show | 1 x HDMI 2.1 as much as 4096 x2304 @ 60Hz; |
| Row 7 – Cell 0 | DisplayPort by way of USB C as much as 7680 x 4320 @ 60Hz |
| Row 8 – Cell 0 | eDP1.4b,as much as 4096 x 2304 @120Hz |
| Enlargement Slots | 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/PCle 3.0 |
| Row 11 – Cell 0 | USB Headers |
| Co-Processor | Arduino Leonardo |
| Working System | Home windows 11 / 10, Ubuntu 22.04 |
| Dimensions | 146 x 102mm |
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The LattePanda Sigma is pitched as a “Hackable Single Board Sever with Mighty Energy,” however that does not limit it to simply sitting in an workplace. The onboard Arduino Leonardo offers a GPIO interface accessible by way of a USB-to-serial interface. With some Arduino and Python code and a USB digicam, constructing a strong machine studying/laptop imaginative and prescient venture could be easy. Certain, the Sigma is bigger than a Raspberry Pi 4, but it surely might be simply built-in right into a robotics venture. The CPU / GPU combo is potent and will simply be used as a low-power desktop machine with 4 4K shows operating concurrently. To maintain it cool, we see a mixed heatsink and fan meeting dominating the board’s prime, taking on extra space than the LattePanda 3 Delta’s cooling resolution.
The twin Thunderbolt 4 ports are an attractive proposition. We doubtlessly profit from quick information switch speeds and doubtlessly exterior GPUs. Gaming is feasible, on the Intel Iris Xe GPU, heck we managed a reliable session of Name of Responsibility: Fashionable Warfare on the LattePanda 3 Delta, so it must be a cakewalk for Sigma.
The LattePanda Sigma is now out there direct from DFRobot, ranging from $579 for a base unit, $648 with a 500GB SSD and Wi-Fi 6E module.