GMKtec NucBoxG5
Geekbench AI Score
1596
Single Precision Score
2332
Half Precision Score
3328
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ohoel |
| Upload Date | February 02 2025 05:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | GMKtec NucBoxG5 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel N97 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
992
184.5 IPS |
|
|
Image Classification (HP)
|
100% |
1492
277.4 IPS |
|
|
Image Classification (Q)
|
99% |
2038
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2834
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2548
2.97 IPS |
|
|
Pose Estimation (HP)
|
99% |
2150
2.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
7357
8.61 IPS |
|
|
Object Detection (SP)
|
100% |
926
73.5 IPS |
|
|
Object Detection (HP)
|
99% |
1510
119.8 IPS |
|
|
Object Detection (Q)
|
90% |
2256
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5071
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
6056
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3139
24.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5420
41.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
6819
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7160
9.20 IPS |
|
|
Style Transfer (HP)
|
100% |
10809
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17868
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3555
131.7 IPS |
|
|
Text Classification (SP)
|
71% |
612
885.3 IPS |
|
|
Text Classification (HP)
|
71% |
722
1.04 KIPS |
|
|
Text Classification (Q)
|
92% |
775
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (HP)
|
98% |
861
14.9 IPS |
|
|
Machine Translation (Q)
|
100% |
857
14.8 IPS |
