GMKtec NucBox_EVO-X2
Geekbench AI Score
6647
Single Precision Score
2411
Half Precision Score
11665
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bitbanger |
| Upload Date | November 02 2025 01:06 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% |
5881
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
738
137.2 IPS |
|
|
Image Classification (Q)
|
99% |
12759
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16210
263.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15255
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11678
13.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
49556
58.1 IPS |
|
|
Object Detection (SP)
|
100% |
5097
404.3 IPS |
|
|
Object Detection (HP)
|
100% |
1014
80.5 IPS |
|
|
Object Detection (Q)
|
86% |
13548
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
12414
147.5 IPS |
|
|
Face Detection (HP)
|
100% |
2023
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
13495
160.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15111
116.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3041
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11883
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30839
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27354
35.2 IPS |
|
|
Style Transfer (Q)
|
98% |
51438
66.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4458
164.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3725
137.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5787
214.3 IPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1768
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3982
80.0 IPS |
