GMKtec NucBoxG5
Geekbench AI Score
1040
Single Precision Score
1089
Half Precision Score
735
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Devon25836 |
| Upload Date | November 12 2025 03:27 AM |
| Views | 8 |
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 | Balanced |
| 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% |
479
89.1 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.6 IPS |
|
|
Image Classification (Q)
|
100% |
393
73.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
512
8.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
2935
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3431
4.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
2172
2.54 IPS |
|
|
Object Detection (SP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (HP)
|
98% |
460
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
440
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
812
9.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
1959
15.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2158
16.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1492
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6263
8.05 IPS |
|
|
Style Transfer (HP)
|
100% |
8791
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
4822
6.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
614
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
460
613.5 IPS |
|
|
Text Classification (HP)
|
100% |
283
377.1 IPS |
|
|
Text Classification (Q)
|
97% |
255
341.5 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.12 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (Q)
|
70% |
263
4.93 IPS |
