GMKtec NucBoxG9
Geekbench AI Score
854
Single Precision Score
316
Half Precision Score
1604
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 25 2025 09:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
512
95.2 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
97% |
1143
213.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (Q)
|
99% |
973
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1073
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
813
0.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
2483
2.91 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.81 IPS |
|
|
Object Detection (Q)
|
86% |
1124
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
208
2.47 IPS |
|
|
Face Detection (Q)
|
97% |
2946
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1425
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
467
3.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
2616
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2820
3.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2053
2.64 IPS |
|
|
Style Transfer (Q)
|
98% |
4959
6.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1031
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
647
863.3 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.2 IPS |
|
|
Text Classification (Q)
|
97% |
843
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
65% |
1094
22.0 IPS |
