GMKtec NucBoxG9
Geekbench AI Score
755
Single Precision Score
295
Half Precision Score
1449
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 19 2025 08:11 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
97
18.1 IPS |
|
|
Image Classification (Q)
|
97% |
1131
211.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
954
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
997
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
753
0.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
2459
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.68 IPS |
|
|
Object Detection (Q)
|
86% |
1114
89.5 IPS |
|
|
Face Detection (SP)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
207
2.46 IPS |
|
|
Face Detection (Q)
|
97% |
2934
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1312
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
462
3.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
2596
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2473
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
1993
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
4651
6.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
876
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
297
397.0 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.0 IPS |
|
|
Text Classification (Q)
|
97% |
412
552.4 IPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
65% |
1085
21.8 IPS |
