GMKtec NucBox_EVO-X2
Geekbench AI Score
6077
Single Precision Score
2472
Half Precision Score
11022
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 04:18 PM |
| Views | 10 |
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 | Balanceret |
| 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% |
5164
960.4 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.2 IPS |
|
|
Image Classification (Q)
|
99% |
10989
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15967
259.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15144
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11752
13.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
49515
58.1 IPS |
|
|
Object Detection (SP)
|
100% |
5111
405.4 IPS |
|
|
Object Detection (HP)
|
100% |
968
76.8 IPS |
|
|
Object Detection (Q)
|
86% |
12249
984.5 IPS |
|
|
Face Detection (SP)
|
100% |
11141
132.4 IPS |
|
|
Face Detection (HP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
13485
160.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16355
126.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3252
25.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12049
96.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31250
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26413
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
46918
60.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4167
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3448
127.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4648
172.1 IPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1166
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1774
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1158
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3959
79.5 IPS |
