GMKtec NucBox_EVO-X2
Geekbench AI Score
6602
Single Precision Score
2575
Half Precision Score
10824
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BennyDaBall |
| Upload Date | November 22 2025 02:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-X2 |
| Motherboard | GMKtec GMKtec |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5232
973.0 IPS |
|
|
Image Classification (HP)
|
100% |
850
158.0 IPS |
|
|
Image Classification (Q)
|
99% |
11675
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16846
273.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24698
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15435
18.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
65243
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
5495
435.9 IPS |
|
|
Object Detection (HP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (Q)
|
86% |
13123
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
10510
124.9 IPS |
|
|
Face Detection (HP)
|
100% |
2234
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
13489
160.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18465
142.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3852
29.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12041
96.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38747
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31234
40.2 IPS |
|
|
Style Transfer (Q)
|
98% |
69752
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3885
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2890
106.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1562
57.9 IPS |
|
|
Text Classification (SP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1701
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4358
87.6 IPS |
