GMKtec NucBox G3
Geekbench AI Score
980
Single Precision Score
976
Half Precision Score
1763
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | molendinar |
| Upload Date | March 08 2025 11:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N100 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | GMKtec NucBox G3 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
568
105.5 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (Q)
|
100% |
1139
211.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1182
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1059
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
2552
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
88% |
1150
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1524
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (Q)
|
100% |
2880
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1476
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1471
11.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
3098
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3106
3.99 IPS |
|
|
Style Transfer (HP)
|
100% |
3121
4.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3871
4.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1514
56.1 IPS |
|
|
Text Classification (SP)
|
100% |
708
944.6 IPS |
|
|
Text Classification (HP)
|
100% |
704
940.3 IPS |
|
|
Text Classification (Q)
|
92% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1162
20.0 IPS |
