GMKtec NucBox_K12
Geekbench AI Score
4132
Single Precision Score
1828
Half Precision Score
8092
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | mikehell87 |
| Upload Date | January 22 2026 03:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 H 255 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | GMKtec NucBox_K12 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 H 255 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3581
666.0 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.1 IPS |
|
|
Image Classification (Q)
|
99% |
7920
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9736
158.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6503
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5407
6.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
24415
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3215
255.1 IPS |
|
|
Object Detection (HP)
|
100% |
873
69.2 IPS |
|
|
Object Detection (Q)
|
86% |
7936
637.8 IPS |
|
|
Face Detection (SP)
|
100% |
6092
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
1849
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
10162
121.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8832
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2668
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7360
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15860
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13686
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27633
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2642
97.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2319
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6303
233.4 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1804
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3429
68.9 IPS |
