GMKtec NucBox_EVO-X2
Geekbench AI Score
6518
Single Precision Score
6589
Half Precision Score
17011
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Marina |
| Upload Date | June 26 2025 05:23 PM |
| Views | 10 |
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% |
4719
877.6 IPS |
|
|
Image Classification (HP)
|
100% |
3679
684.1 IPS |
|
|
Image Classification (Q)
|
100% |
10602
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3999
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4575
74.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8328
135.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9127
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9376
10.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
26882
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
4351
345.1 IPS |
|
|
Object Detection (HP)
|
100% |
3884
308.0 IPS |
|
|
Object Detection (Q)
|
88% |
11960
958.8 IPS |
|
|
Face Detection (SP)
|
100% |
8357
99.3 IPS |
|
|
Face Detection (HP)
|
100% |
8578
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
35178
418.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8558
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12184
93.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
29604
230.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21897
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24437
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95277
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5176
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17113
633.8 IPS |
|
|
Text Classification (SP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (Q)
|
92% |
6337
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5872
101.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5520
95.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6645
114.5 IPS |
