GMKtec NucBoxG5
Geekbench AI Score
454
Single Precision Score
466
Half Precision Score
850
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | KokomiCat |
| Upload Date | November 07 2025 07:36 AM |
| Views | 7 |
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 | 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% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
509
94.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (Q)
|
99% |
558
9.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
525
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
1216
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
88% |
380
30.4 IPS |
|
|
Face Detection (SP)
|
100% |
627
7.45 IPS |
|
|
Face Detection (HP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (Q)
|
100% |
955
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
627
4.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
633
4.88 IPS |
|
|
Depth Estimation (Q)
|
89% |
1374
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2117
2.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2169
2.79 IPS |
|
|
Style Transfer (Q)
|
98% |
5133
6.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
656
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.8 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.2 IPS |
|
|
Text Classification (Q)
|
92% |
506
679.6 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.31 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (Q)
|
100% |
677
11.7 IPS |
