GMKtec NucBox_EVO-X2
Geekbench AI Score
5952
Single Precision Score
2211
Half Precision Score
10208
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 11:55 PM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 w/ Radeon 8060S |
| 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% |
5311
987.7 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (Q)
|
99% |
12468
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3789
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14483
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10806
12.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
47298
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
4781
379.2 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
86% |
13669
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
10891
129.4 IPS |
|
|
Face Detection (HP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
13249
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15551
119.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2980
23.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11593
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30441
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26207
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
49918
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4860
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
895
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1802
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3314
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5993
120.4 IPS |
