GMKtec NucBox_EVO-X2
Geekbench AI Score
5155
Single Precision Score
1924
Half Precision Score
10139
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 08:22 PM |
| Views | 6 |
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 | Balanced |
| 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% |
4130
768.1 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.1 IPS |
|
|
Image Classification (Q)
|
99% |
9727
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13955
226.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11495
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8351
9.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
44783
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
3541
280.9 IPS |
|
|
Object Detection (HP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (Q)
|
86% |
10648
855.8 IPS |
|
|
Face Detection (SP)
|
100% |
9659
114.8 IPS |
|
|
Face Detection (HP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
11956
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13702
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2699
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15827
126.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24544
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23562
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
45509
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2914
107.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2907
107.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4311
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
743
992.1 IPS |
|
|
Text Classification (Q)
|
97% |
1439
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2510
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3321
66.7 IPS |
