GMKtec NucBoxG9 15/15 GMKtec NucBoxG9
Geekbench AI Score
659
Single Precision Score
660
Half Precision Score
433
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 03 2025 02:42 PM |
| Views | 7 |
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% |
422
78.4 IPS |
|
|
Image Classification (HP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (Q)
|
99% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
334
5.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
613
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
85% |
288
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
896
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
723
8.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
828
6.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
830
6.39 IPS |
|
|
Depth Estimation (Q)
|
63% |
552
5.17 IPS |
|
|
Style Transfer (SP)
|
100% |
1322
1.70 IPS |
|
|
Style Transfer (HP)
|
100% |
1327
1.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1461
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
432
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
358
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
611
815.9 IPS |
|
|
Text Classification (HP)
|
100% |
619
826.7 IPS |
|
|
Text Classification (Q)
|
92% |
267
358.6 IPS |
|
|
Machine Translation (SP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
58% |
258
6.05 IPS |
