GMKtec NucBox5
Geekbench AI Score
322
Single Precision Score
191
Half Precision Score
519
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 14 2025 10:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N5105 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox5 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Celeron N5105 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 156 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
96% |
396
73.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
398
6.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
279
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
756
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
99
7.86 IPS |
|
|
Object Detection (Q)
|
58% |
246
26.9 IPS |
|
|
Face Detection (SP)
|
100% |
582
6.92 IPS |
|
|
Face Detection (HP)
|
100% |
256
3.04 IPS |
|
|
Face Detection (Q)
|
96% |
797
9.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
513
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
278
2.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
804
6.40 IPS |
|
|
Style Transfer (SP)
|
100% |
865
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
770
0.99 IPS |
|
|
Style Transfer (Q)
|
87% |
1543
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
368
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
201
267.7 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.5 IPS |
|
|
Text Classification (Q)
|
97% |
351
470.6 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.07 IPS |
|
|
Machine Translation (HP)
|
100% |
149
2.57 IPS |
|
|
Machine Translation (Q)
|
68% |
384
7.41 IPS |
