Micro-Star International Co., Ltd. PRO LNL Cubi NUC AI+ 2M (MS-B206)
Geekbench AI Score
7044
Single Precision Score
12373
Half Precision Score
4771
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | February 08 2026 01:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
3667
682.0 IPS |
|
|
Image Classification (HP)
|
100% |
3960
736.4 IPS |
|
|
Image Classification (Q)
|
100% |
2556
475.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7168
116.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13822
224.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5123
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12234
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29589
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11116
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
4506
357.4 IPS |
|
|
Object Detection (HP)
|
100% |
7249
575.0 IPS |
|
|
Object Detection (Q)
|
88% |
3626
290.8 IPS |
|
|
Face Detection (SP)
|
100% |
9872
117.3 IPS |
|
|
Face Detection (HP)
|
100% |
18142
215.6 IPS |
|
|
Face Detection (Q)
|
97% |
6940
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19524
150.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
37795
291.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12915
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
48770
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
165449
212.7 IPS |
|
|
Style Transfer (Q)
|
98% |
37022
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8127
300.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14646
540.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5058
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
552
739.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2963
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1252
23.5 IPS |
