GMKtec NucBox_EVO-X2
Geekbench AI Score
6300
Single Precision Score
2130
Half Precision Score
11017
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jesse_elve |
| Upload Date | October 29 2025 11:49 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 | 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% |
6455
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
741
137.8 IPS |
|
|
Image Classification (Q)
|
99% |
13112
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15638
254.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14942
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9141
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
46853
54.9 IPS |
|
|
Object Detection (SP)
|
100% |
4271
338.8 IPS |
|
|
Object Detection (HP)
|
100% |
881
69.9 IPS |
|
|
Object Detection (Q)
|
86% |
13254
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
10777
128.1 IPS |
|
|
Face Detection (HP)
|
100% |
1942
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
13035
155.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14319
110.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2893
22.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10884
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29533
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20856
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46350
59.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4425
163.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2629
97.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4544
168.2 IPS |
|
|
Text Classification (SP)
|
100% |
2519
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1786
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3877
77.9 IPS |
