GMKtec NucBoxG9
Geekbench AI Score
106
Single Precision Score
107
Half Precision Score
58
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 03 2025 05:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| 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% |
65
12.0 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.1 IPS |
|
|
Image Classification (Q)
|
99% |
38
7.01 IPS |
|
|
Image Segmentation (SP)
|
100% |
80
1.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
81
1.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
43
0.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
123
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
123
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
85
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
65
5.13 IPS |
|
|
Object Detection (HP)
|
100% |
64
5.10 IPS |
|
|
Object Detection (Q)
|
85% |
39
3.17 IPS |
|
|
Face Detection (SP)
|
100% |
150
1.78 IPS |
|
|
Face Detection (HP)
|
100% |
150
1.78 IPS |
|
|
Face Detection (Q)
|
97% |
97
1.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
140
1.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
140
1.08 IPS |
|
|
Depth Estimation (Q)
|
63% |
75
0.71 IPS |
|
|
Style Transfer (SP)
|
100% |
238
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
239
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
205
0.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73
2.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
73
2.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
49
1.80 IPS |
|
|
Text Classification (SP)
|
100% |
88
117.3 IPS |
|
|
Text Classification (HP)
|
100% |
88
117.1 IPS |
|
|
Text Classification (Q)
|
92% |
36
47.7 IPS |
|
|
Machine Translation (SP)
|
100% |
147
2.54 IPS |
|
|
Machine Translation (HP)
|
100% |
148
2.55 IPS |
|
|
Machine Translation (Q)
|
58% |
33
0.78 IPS |
