[2024] Mini PC: GMKtec NucBox G5 GMKtec NucBoxG5
Geekbench AI Score
1589
Single Precision Score
2369
Half Precision Score
3432
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | January 03 2025 09:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1011
188.0 IPS |
|
|
Image Classification (HP)
|
100% |
1621
301.4 IPS |
|
|
Image Classification (Q)
|
99% |
2174
405.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3304
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2528
2.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
2167
2.53 IPS |
|
|
Pose Estimation (Q)
|
97% |
7487
8.77 IPS |
|
|
Object Detection (SP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (HP)
|
99% |
1548
122.8 IPS |
|
|
Object Detection (Q)
|
90% |
2309
184.6 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5037
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
6347
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3059
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5441
42.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
6931
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7115
9.15 IPS |
|
|
Style Transfer (HP)
|
100% |
11438
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18265
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2136
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3547
131.4 IPS |
|
|
Text Classification (SP)
|
71% |
622
899.7 IPS |
|
|
Text Classification (HP)
|
71% |
721
1.04 KIPS |
|
|
Text Classification (Q)
|
92% |
768
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
98% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
100% |
836
14.4 IPS |
