GMKtec NucBoxG3 Plus
Geekbench AI Score
885
Single Precision Score
468
Half Precision Score
1510
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 01:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBoxG3 Plus |
| Motherboard | GMKtec GMKtec |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
99% |
1053
196.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1314
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1119
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
863
1.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
2356
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
86% |
1022
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
526
6.25 IPS |
|
|
Face Detection (Q)
|
97% |
2176
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1542
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
669
5.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
2582
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2839
3.65 IPS |
|
|
Style Transfer (HP)
|
100% |
2081
2.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4261
5.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1083
40.1 IPS |
|
|
Text Classification (SP)
|
100% |
540
720.3 IPS |
|
|
Text Classification (HP)
|
100% |
329
439.1 IPS |
|
|
Text Classification (Q)
|
97% |
643
861.1 IPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
65% |
1114
22.4 IPS |
