Micro-Star International Co., Ltd. PRO LNL Cubi NUC AI+ 2M (MS-B206)
Geekbench AI Score
10755
Single Precision Score
25916
Half Precision Score
29714
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 03:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
6848
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
14302
2.66 KIPS |
|
|
Image Classification (Q)
|
100% |
17074
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8812
142.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24586
398.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29107
471.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23200
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
125229
146.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
245429
287.3 IPS |
|
|
Object Detection (SP)
|
100% |
6384
506.4 IPS |
|
|
Object Detection (HP)
|
100% |
14481
1.15 KIPS |
|
|
Object Detection (Q)
|
88% |
15345
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
13883
165.0 IPS |
|
|
Face Detection (HP)
|
100% |
30980
368.1 IPS |
|
|
Face Detection (Q)
|
100% |
42347
503.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23090
177.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55756
429.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
66860
519.9 IPS |
|
|
Style Transfer (SP)
|
100% |
52944
68.1 IPS |
|
|
Style Transfer (HP)
|
100% |
148765
191.2 IPS |
|
|
Style Transfer (Q)
|
98% |
158510
204.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9641
356.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24144
891.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31790
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4235
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5061
6.75 KIPS |
|
|
Text Classification (Q)
|
92% |
2958
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6828
118.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6793
117.0 IPS |
