GMKtec NucBoxG5
Geekbench AI Score
841
Single Precision Score
844
Half Precision Score
1756
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Devon25836 |
| Upload Date | November 12 2025 03:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N97 |
| 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% |
500
92.9 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (Q)
|
100% |
1089
202.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
1170
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
885
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
880
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
2385
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
88% |
1103
88.5 IPS |
|
|
Face Detection (SP)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (Q)
|
100% |
2753
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1199
9.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
1204
9.27 IPS |
|
|
Depth Estimation (Q)
|
89% |
2849
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2576
3.31 IPS |
|
|
Style Transfer (HP)
|
100% |
2603
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
6894
8.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1436
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
613
818.8 IPS |
|
|
Text Classification (HP)
|
100% |
626
836.1 IPS |
|
|
Text Classification (Q)
|
92% |
1065
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1010
17.4 IPS |
