MaxMini B4 Pro 8145U
- CPU
- Intel i3 8145U
- GPU
- Intel Intel UHD 620
- Cores
- 2P / 4T
- RAM
- 32GB / 2 slots · 2400 MT/s
- Storage
- 4 (1× NVMe) · 1×2.5"
- LAN
- 1× 1G
- Size
- 125×112×47mm · 0.66L
The AOOSTAR Rumored GEM10 HX 370 is a mini PC powered by the AMD r9 HX 370 (Zen 5 gen). It features 12 performance cores and 24 threads and a soldered CPU. Graphics are handled by the integrated AMD RDNA3.5 890M. Supports up to 32GB of RAM at 7500 MT/s. Storage capacity of up to 3 drives including 3 NVMe. Connectivity includes USB4 40Gbps, OCuLink, HDMI 2.1. Networking features 2 Ethernet ports (up to 2.5G). Dimensions: 107 × 107 × 60mm (0.69L).
Recommended for productivity, software development, multitasking, media use, light gaming, network-focused setups, and local storage expansion. Consider AOOSTAR Rumored GEM10 HX 370 if you want a ultra-compact mini PC built around its listed AMD r9 HX 370 processor and AMD RDNA3.5 890M integrated GPU. It is less suitable for heavy gaming than models with a discrete GPU, but the listed expansion and integrated graphics options make it flexible for everyday workloads.
AOOSTAR Rumored GEM10 HX 370 features AMD r9 HX 370 with AMD RDNA3.5 890M integrated GPU, offering 2× 2.5G Ethernet, USB4, OCuLink, and HDMI 2.1, and expanded internal storage. CPU details include Zen 5 CPU generation, 12 performance cores, and 24 threads. Memory support includes up to 32GB RAMat 7500 MT/s. Storage support includes up to 3 storage drives including 3 NVMe SSD slots and 3× PCIe Gen4 x4 NVMe. Display support includes support for up to 3 displays. Port connectivity includes 1× USB4 40Gbps, 2× HDMI 2.1, OCuLink, and full-function USB-C with PD/video/data at 100W. Networking includes 2× 2.5G Ethernet. Physical design includes a 107 × 107 × 60 mm chassis (0.69L). Cooling information lists 80 mm main fan and 40 mm secondary fan. Lifecycle information lists 1-year warranty.
The overall score is not populated for AOOSTAR Rumored GEM10 HX 370, so this model should be evaluated by the listed hardware specifications rather than by a ranked dataset position.
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