GMKtec NucBox_EVO-X2
Geekbench AI Score
7164
Single Precision Score
6973
Half Precision Score
18924
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | wpopelier |
| Upload Date | August 19 2025 02:21 AM |
| Views | 7 |
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 | 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% |
4427
823.3 IPS |
|
|
Image Classification (HP)
|
100% |
4065
756.0 IPS |
|
|
Image Classification (Q)
|
100% |
13887
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4487
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5603
90.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10018
162.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9255
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9554
11.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
38192
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
3927
311.5 IPS |
|
|
Object Detection (HP)
|
100% |
4108
325.9 IPS |
|
|
Object Detection (Q)
|
88% |
10197
817.4 IPS |
|
|
Face Detection (SP)
|
100% |
10946
130.1 IPS |
|
|
Face Detection (HP)
|
100% |
10903
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
32728
388.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10896
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7907
60.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
30795
239.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24869
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24453
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
108470
139.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6683
246.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6656
245.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17272
639.7 IPS |
|
|
Text Classification (SP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
92% |
6698
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6187
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5232
90.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8600
148.1 IPS |
