GMKtec NucBox EVO-X2 GMKtec NucBox_EVO-X2
Geekbench AI Score
6098
Single Precision Score
2224
Half Precision Score
10737
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | minerale |
| Upload Date | October 21 2025 10:18 PM |
| Views | 12 |
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 | Bilanciato |
| 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% |
5668
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
99% |
10853
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14843
241.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13238
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10303
12.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
45034
52.8 IPS |
|
|
Object Detection (SP)
|
100% |
4776
378.8 IPS |
|
|
Object Detection (HP)
|
100% |
906
71.9 IPS |
|
|
Object Detection (Q)
|
86% |
12317
989.9 IPS |
|
|
Face Detection (SP)
|
100% |
11754
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
1905
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
12616
150.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14894
114.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2927
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10450
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27644
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23499
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
52855
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3193
117.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5053
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1653
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2854
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3917
78.7 IPS |
