GMKtec NucBoxG5
Geekbench AI Score
901
Single Precision Score
890
Half Precision Score
1807
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ohoel |
| Upload Date | February 02 2025 05:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N97 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | GMKtec NucBoxG5 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Performances leves |
| 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% |
552
102.7 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
100% |
1070
198.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1157
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
980
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
2491
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
505
40.0 IPS |
|
|
Object Detection (Q)
|
88% |
1104
88.5 IPS |
|
|
Face Detection (SP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (Q)
|
100% |
2835
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1298
10.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1243
9.58 IPS |
|
|
Depth Estimation (Q)
|
89% |
2979
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2754
3.54 IPS |
|
|
Style Transfer (HP)
|
100% |
2806
3.61 IPS |
|
|
Style Transfer (Q)
|
98% |
7116
9.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1476
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
668
891.7 IPS |
|
|
Text Classification (HP)
|
100% |
654
873.0 IPS |
|
|
Text Classification (Q)
|
92% |
1188
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1036
17.8 IPS |
