Micro-Star International Co., Ltd. PRO LNL Cubi NUC AI+ 2M (MS-B206)
Geekbench AI Score
2614
Single Precision Score
1045
Half Precision Score
5205
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 03:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. PRO LNL Cubi NUC AI+ 2M (MS-B206) |
| Motherboard | Micro-Star International Co., Ltd. MS-B2061 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (Q)
|
99% |
3784
705.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
5586
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4362
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3232
3.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
15910
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
86% |
4216
338.8 IPS |
|
|
Face Detection (SP)
|
100% |
5212
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
6202
74.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5425
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1260
9.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
11494
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10331
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8166
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
13515
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1830
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3911
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
579
772.5 IPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2185
43.9 IPS |
