GMKtec NucBoxG5
Geekbench AI Score
1076
Single Precision Score
1123
Half Precision Score
760
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | KokomiCat |
| Upload Date | November 07 2025 08:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBoxG5 |
| Motherboard | GMKtec GMKtec |
| Power Plan | High performance |
| 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% |
477
88.7 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
100% |
421
78.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
518
8.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
2931
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3447
4.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
2186
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
98% |
478
38.0 IPS |
|
|
Object Detection (Q)
|
86% |
460
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
823
9.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
1981
15.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2161
16.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1493
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6307
8.11 IPS |
|
|
Style Transfer (HP)
|
100% |
8870
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
4799
6.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
607
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
520
694.1 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.1 IPS |
|
|
Text Classification (Q)
|
97% |
292
390.7 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.10 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (Q)
|
70% |
283
5.31 IPS |
