Micro-Star International Co., Ltd. PRO LNL Cubi NUC AI+ 2M (MS-B206)
Geekbench AI Score
3073
Single Precision Score
1322
Half Precision Score
6543
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | February 08 2026 01:22 AM |
| 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 Enterprise (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 Core 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% |
2398
446.0 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.7 IPS |
|
|
Image Classification (Q)
|
99% |
5332
994.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7129
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4726
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3453
4.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
17299
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
86% |
5505
442.4 IPS |
|
|
Face Detection (SP)
|
100% |
6477
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
7619
90.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6226
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1991
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13599
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11614
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8748
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20785
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2169
80.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
668
892.0 IPS |
|
|
Text Classification (Q)
|
97% |
1341
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2836
57.0 IPS |
