GMKtec NucBoxG3 Plus
Geekbench AI Score
904
Single Precision Score
906
Half Precision Score
1736
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 05 2025 07:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | GMKtec NucBoxG3 Plus |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
527
97.9 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
100% |
1075
200.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
1086
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
975
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1010
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
2376
2.78 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (Q)
|
88% |
1074
86.1 IPS |
|
|
Face Detection (SP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1418
16.9 IPS |
|
|
Face Detection (Q)
|
100% |
2686
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1313
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1314
10.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
2806
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2835
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
2833
3.64 IPS |
|
|
Style Transfer (Q)
|
98% |
6597
8.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
609
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1376
50.9 IPS |
|
|
Text Classification (SP)
|
100% |
677
903.3 IPS |
|
|
Text Classification (HP)
|
100% |
666
889.6 IPS |
|
|
Text Classification (Q)
|
92% |
1124
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1100
18.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1088
18.7 IPS |
