GMKtec NucBox_EVO-X2
Geekbench AI Score
25794
Single Precision Score
35789
Half Precision Score
20164
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | manuelwesser |
| Upload Date | October 27 2025 04:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-X2 |
| Motherboard | GMKtec GMKtec |
| 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% |
13399
2.49 KIPS |
|
|
Image Classification (HP)
|
100% |
14150
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
11951
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22193
359.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17200
278.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18538
301.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
125166
146.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
295558
344.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
109461
128.2 IPS |
|
|
Object Detection (SP)
|
100% |
7242
574.5 IPS |
|
|
Object Detection (HP)
|
100% |
13747
1.09 KIPS |
|
|
Object Detection (Q)
|
87% |
7098
570.1 IPS |
|
|
Face Detection (SP)
|
100% |
30174
358.5 IPS |
|
|
Face Detection (HP)
|
100% |
47138
560.1 IPS |
|
|
Face Detection (Q)
|
97% |
24406
291.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
55170
425.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74388
573.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
45517
365.0 IPS |
|
|
Style Transfer (SP)
|
100% |
229047
294.4 IPS |
|
|
Style Transfer (HP)
|
100% |
428090
550.3 IPS |
|
|
Style Transfer (Q)
|
98% |
195883
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42316
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58593
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32113
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4315
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4503
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2909
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6948
119.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8804
151.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3177
59.6 IPS |
