GMKtec NucBoxG9
Geekbench AI Score
928
Single Precision Score
941
Half Precision Score
1902
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 19 2025 08:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (Q)
|
100% |
1165
216.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1235
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
948
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
957
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
2538
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (Q)
|
88% |
1168
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (Q)
|
100% |
2980
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1241
9.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
1236
9.52 IPS |
|
|
Depth Estimation (Q)
|
89% |
3103
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2786
3.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2854
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
7229
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1505
55.7 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.7 IPS |
|
|
Text Classification (HP)
|
100% |
702
937.4 IPS |
|
|
Text Classification (Q)
|
92% |
1199
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1206
20.8 IPS |
