GMKtec NucBoxG9
Geekbench AI Score
651
Single Precision Score
655
Half Precision Score
433
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 25 2025 07:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
410
76.2 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.5 IPS |
|
|
Image Classification (Q)
|
99% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
333
5.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
729
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
732
0.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
613
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
85% |
289
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
721
8.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
820
6.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
821
6.33 IPS |
|
|
Depth Estimation (Q)
|
63% |
554
5.20 IPS |
|
|
Style Transfer (SP)
|
100% |
1310
1.68 IPS |
|
|
Style Transfer (HP)
|
100% |
1316
1.69 IPS |
|
|
Style Transfer (Q)
|
98% |
1462
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
358
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
616
821.6 IPS |
|
|
Text Classification (HP)
|
100% |
619
826.3 IPS |
|
|
Text Classification (Q)
|
92% |
267
358.5 IPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
58% |
258
6.05 IPS |
