GMKtec NucBoxG5
Geekbench AI Score
858
Single Precision Score
464
Half Precision Score
1457
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ohoel |
| Upload Date | February 02 2025 05:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N97 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | GMKtec NucBoxG5 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Performances leves |
| 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% |
612
113.7 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
99% |
1046
195.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
912
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1071
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
818
0.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
2409
2.82 IPS |
|
|
Object Detection (SP)
|
100% |
549
43.5 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
86% |
1035
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
1473
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
584
6.93 IPS |
|
|
Face Detection (Q)
|
97% |
2264
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1418
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
659
5.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
2553
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2654
3.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1971
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
4611
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
983
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.1 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.7 IPS |
|
|
Text Classification (Q)
|
97% |
689
922.5 IPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
65% |
1008
20.3 IPS |
