GMKtec NucBoxG5
Geekbench AI Score
1071
Single Precision Score
1139
Half Precision Score
760
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ohoel |
| Upload Date | February 02 2025 05:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
482
89.6 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.9 IPS |
|
|
Image Classification (Q)
|
100% |
413
76.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
2970
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3503
4.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
2193
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (HP)
|
98% |
472
37.5 IPS |
|
|
Object Detection (Q)
|
86% |
453
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
840
10.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1991
15.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2177
16.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1512
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6323
8.13 IPS |
|
|
Style Transfer (HP)
|
100% |
8849
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
4863
6.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
498
664.9 IPS |
|
|
Text Classification (HP)
|
100% |
338
451.7 IPS |
|
|
Text Classification (Q)
|
97% |
285
382.4 IPS |
|
|
Machine Translation (SP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.64 IPS |
|
|
Machine Translation (Q)
|
70% |
278
5.22 IPS |
