GMKtec NucBox_EVO-X2
Geekbench AI Score
12159
Single Precision Score
12232
Half Precision Score
28025
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BennyDaBall |
| Upload Date | November 22 2025 02:58 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-X2 |
| Motherboard | GMKtec GMKtec |
| Power Plan | High performance |
| 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% |
6633
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
6022
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
14894
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8290
134.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8814
142.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21100
342.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24417
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25101
29.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
101914
119.3 IPS |
|
|
Object Detection (SP)
|
100% |
7091
562.4 IPS |
|
|
Object Detection (HP)
|
100% |
7358
583.6 IPS |
|
|
Object Detection (Q)
|
88% |
17183
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
16107
191.4 IPS |
|
|
Face Detection (HP)
|
100% |
15694
186.5 IPS |
|
|
Face Detection (Q)
|
100% |
41977
498.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20703
159.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20573
158.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
51864
403.6 IPS |
|
|
Style Transfer (SP)
|
100% |
65775
84.6 IPS |
|
|
Style Transfer (HP)
|
100% |
69007
88.7 IPS |
|
|
Style Transfer (Q)
|
98% |
240063
309.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11573
427.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11575
427.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30287
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
4161
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (Q)
|
92% |
4556
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
7027
121.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7300
125.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7531
129.7 IPS |
