GMKtec NucBox_EVO-X2
Geekbench AI Score
7235
Single Precision Score
7255
Half Precision Score
17583
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | manuelwesser |
| Upload Date | October 27 2025 04:43 PM |
| Views | 4 |
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 |
| 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% |
4464
830.1 IPS |
|
|
Image Classification (HP)
|
100% |
3792
705.1 IPS |
|
|
Image Classification (Q)
|
100% |
15243
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5376
87.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5480
88.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9666
156.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9862
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9679
11.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
31145
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3797
301.2 IPS |
|
|
Object Detection (HP)
|
100% |
4173
331.0 IPS |
|
|
Object Detection (Q)
|
88% |
12014
963.1 IPS |
|
|
Face Detection (SP)
|
100% |
10722
127.4 IPS |
|
|
Face Detection (HP)
|
100% |
10356
123.1 IPS |
|
|
Face Detection (Q)
|
100% |
26139
310.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10875
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11929
91.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
30526
237.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25829
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24351
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
87676
113.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6779
250.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6517
240.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14638
542.1 IPS |
|
|
Text Classification (SP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
92% |
6326
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5337
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5836
100.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7910
136.3 IPS |
