GMKtec NucBox_EVO-X2
Geekbench AI Score
7043
Single Precision Score
7127
Half Precision Score
17040
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | manuelwesser |
| Upload Date | June 16 2025 10:31 AM |
| Views | 5 |
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 | Ausbalanciert |
| 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% |
4158
773.3 IPS |
|
|
Image Classification (HP)
|
100% |
5658
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
12910
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4702
76.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4161
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6598
107.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9516
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9597
11.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
35072
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4077
323.4 IPS |
|
|
Object Detection (HP)
|
100% |
3615
286.7 IPS |
|
|
Object Detection (Q)
|
88% |
11948
957.8 IPS |
|
|
Face Detection (SP)
|
100% |
10014
119.0 IPS |
|
|
Face Detection (HP)
|
100% |
10525
125.1 IPS |
|
|
Face Detection (Q)
|
100% |
20468
243.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12261
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11502
88.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
32266
251.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25969
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23989
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
105239
135.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5318
196.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12471
461.8 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4314
5.76 KIPS |
|
|
Text Classification (Q)
|
92% |
7283
9.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6375
109.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6216
107.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9161
157.8 IPS |
