GMK NucBox
Geekbench AI Score
194
Single Precision Score
254
Half Precision Score
159
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows x86 (64-bit)
Result Information
| Upload Date | June 16 2025 06:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | GMK NucBox |
| Motherboard | GMK NucBox |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Celeron J4125 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
73
13.5 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.4 IPS |
|
|
Image Classification (Q)
|
100% |
65
12.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
141
2.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
113
1.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
600
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
841
0.98 IPS |
|
|
Pose Estimation (Q)
|
97% |
485
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
54
4.29 IPS |
|
|
Object Detection (HP)
|
98% |
96
7.60 IPS |
|
|
Object Detection (Q)
|
86% |
62
4.97 IPS |
|
|
Face Detection (SP)
|
100% |
212
2.52 IPS |
|
|
Face Detection (HP)
|
100% |
280
3.32 IPS |
|
|
Face Detection (Q)
|
97% |
240
2.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
362
2.79 IPS |
|
|
Depth Estimation (HP)
|
98% |
470
3.63 IPS |
|
|
Depth Estimation (Q)
|
77% |
301
2.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1823
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1880
2.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1209
1.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
219
8.09 IPS |
|
|
Text Classification (SP)
|
100% |
59
78.9 IPS |
|
|
Text Classification (HP)
|
100% |
81
108.3 IPS |
|
|
Text Classification (Q)
|
97% |
42
56.7 IPS |
|
|
Machine Translation (SP)
|
100% |
93
1.61 IPS |
|
|
Machine Translation (HP)
|
100% |
108
1.87 IPS |
|
|
Machine Translation (Q)
|
70% |
61
1.15 IPS |
