[2024] Mini PC: GMKtec NucBox G5 GMKtec NucBoxG5
Geekbench AI Score
894
Single Precision Score
478
Half Precision Score
1251
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | January 03 2025 09:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N97 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBoxG5 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel N97 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
630
117.1 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.8 IPS |
|
|
Image Classification (Q)
|
99% |
1050
195.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
710
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1100
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
844
0.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
2430
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
86% |
957
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (Q)
|
97% |
2231
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1485
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
682
5.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
2619
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2798
3.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2061
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
4659
6.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1004
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.5 IPS |
|
|
Text Classification (HP)
|
100% |
328
437.8 IPS |
|
|
Text Classification (Q)
|
97% |
212
284.0 IPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
65% |
940
18.9 IPS |
