GMKtec NucBoxG9
Geekbench AI Score
655
Single Precision Score
655
Half Precision Score
431
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | May 01 2025 10:18 AM |
| Views | 4 |
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% |
407
75.8 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (Q)
|
99% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
504
8.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
333
5.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
720
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
721
0.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
612
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
85% |
287
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
711
8.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
809
6.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
810
6.24 IPS |
|
|
Depth Estimation (Q)
|
63% |
550
5.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1335
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1332
1.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1460
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
356
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.7 IPS |
|
|
Text Classification (HP)
|
100% |
615
821.5 IPS |
|
|
Text Classification (Q)
|
92% |
266
357.8 IPS |
|
|
Machine Translation (SP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
58% |
257
6.03 IPS |
