GMKtec NucBoxG9
Geekbench AI Score
950
Single Precision Score
959
Half Precision Score
1913
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 25 2025 09:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | GMKtec NucBoxG9 |
| 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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
535
99.6 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (Q)
|
100% |
1174
218.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1243
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
992
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
999
1.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
2563
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
88% |
1181
94.6 IPS |
|
|
Face Detection (SP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (Q)
|
100% |
3004
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1347
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1366
10.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
3131
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2896
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2929
3.76 IPS |
|
|
Style Transfer (Q)
|
98% |
7305
9.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1519
56.3 IPS |
|
|
Text Classification (SP)
|
100% |
707
943.7 IPS |
|
|
Text Classification (HP)
|
100% |
710
947.2 IPS |
|
|
Text Classification (Q)
|
92% |
1195
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1196
20.6 IPS |
