GMKtec NucBox_EVO-X2
Geekbench AI Score
27028
Single Precision Score
39020
Half Precision Score
20381
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bitbanger |
| Upload Date | December 22 2025 11:36 PM |
| Views | 5 |
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% |
13218
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
14226
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
11769
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23472
380.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32843
532.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19451
316.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
127975
149.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
299149
349.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
110092
129.0 IPS |
|
|
Object Detection (SP)
|
100% |
7092
562.5 IPS |
|
|
Object Detection (HP)
|
100% |
13966
1.11 KIPS |
|
|
Object Detection (Q)
|
87% |
7110
571.0 IPS |
|
|
Face Detection (SP)
|
100% |
30564
363.2 IPS |
|
|
Face Detection (HP)
|
100% |
47798
567.9 IPS |
|
|
Face Detection (Q)
|
97% |
20326
242.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
54869
422.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75620
582.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
41321
331.4 IPS |
|
|
Style Transfer (SP)
|
100% |
238957
307.2 IPS |
|
|
Style Transfer (HP)
|
100% |
438720
564.0 IPS |
|
|
Style Transfer (Q)
|
98% |
202150
260.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47142
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64117
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35303
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4805
6.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4677
6.24 KIPS |
|
|
Text Classification (Q)
|
97% |
3275
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
8139
140.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8817
151.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3516
66.0 IPS |
