GMKtec NucBox_EVO-X2
Geekbench AI Score
6059
Single Precision Score
2183
Half Precision Score
10860
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 10:16 PM |
| Views | 2 |
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% |
6310
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
863
160.4 IPS |
|
|
Image Classification (Q)
|
99% |
12837
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15541
252.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13950
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9348
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
48081
56.4 IPS |
|
|
Object Detection (SP)
|
100% |
4319
342.6 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.8 IPS |
|
|
Object Detection (Q)
|
86% |
11640
935.5 IPS |
|
|
Face Detection (SP)
|
100% |
9967
118.4 IPS |
|
|
Face Detection (HP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
13241
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15078
116.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2814
21.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9060
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28487
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23127
29.7 IPS |
|
|
Style Transfer (Q)
|
98% |
50619
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4703
174.1 IPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1731
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2946
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4136
83.1 IPS |
