GMKtec NucBoxG3 Plus
Geekbench AI Score
1344
Single Precision Score
2121
Half Precision Score
3083
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 05 2025 07:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
845
157.1 IPS |
|
|
Image Classification (HP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (Q)
|
99% |
1841
343.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2093
2.44 IPS |
|
|
Pose Estimation (HP)
|
99% |
1765
2.06 IPS |
|
|
Pose Estimation (Q)
|
97% |
6081
7.12 IPS |
|
|
Object Detection (SP)
|
100% |
785
62.2 IPS |
|
|
Object Detection (HP)
|
99% |
1308
103.7 IPS |
|
|
Object Detection (Q)
|
90% |
2078
166.1 IPS |
|
|
Face Detection (SP)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
5272
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2563
19.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4605
35.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
5940
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5781
7.43 IPS |
|
|
Style Transfer (HP)
|
100% |
8965
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14814
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1796
66.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3115
115.3 IPS |
|
|
Text Classification (SP)
|
71% |
600
867.8 IPS |
|
|
Text Classification (HP)
|
71% |
758
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (HP)
|
98% |
1214
21.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1220
21.0 IPS |
