Face-RK3399 Face Recognition Motherboard vs reComputer RK3576-20 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-20 | Open Rockchip AI Box tailored for AI Application Development is $20 cheaper; reComputer RK3576-20 | Open Rockchip AI Box tailored for AI Application Development has more RAM (4 GB vs 2 GB); reComputer RK3576-20 | Open Rockchip AI Box tailored for AI Application Development has more storage (32 GB vs 16 GB).
| Specification | Face-RK3399 Face Recognition Motherboard | reComputer RK3576-20 | Open Rockchip AI Box tailored for AI Application Development |
|---|---|---|
| Price | <span class="mtag" data-amt="179" data-ccy="USD">$179</span> | <span class="mtag" data-amt="159" data-ccy="USD">$159</span> |
| CPU | Rockchip RK3399 | Rockchip RK3576 |
| RAM | 2 GB | 4 GB |
| Storage | 16 GB | 32 GB |
| Graphics | — | — |
| Display | — | — |
| Operating system | — | Debian / Ubuntu / Android |
More single-board computers comparisons
- Face-RK3399 Face Recognition Motherboard vs LattePanda Mu - A Micro x86 Compute Module (N100 CPU,8GB RAM,64GB eMMC)
- LattePanda V1 - The Smallest Windows 10 Single Board Computer (Unactivated, 4GB/64GB) vs reComputer RK3576-20 | Open Rockchip AI Box tailored for AI Application Development
- MIX-H310D1 vs Face-RK3399 Face Recognition Motherboard
- MIX-H610A2 vs reComputer RK3576-20 | Open Rockchip AI Box tailored for AI Application Development
- MIX-ALND1 vs Face-RK3399 Face Recognition Motherboard
- VIM3 vs reComputer RK3576-20 | Open Rockchip AI Box tailored for AI Application Development