Micro-Star International Co., Ltd. PRO LNL Cubi NUC AI+ 2M (MS-B206)
Geekbench AI Score
2498
Single Precision Score
23627
Half Precision Score
44544
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 03:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
13139
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
20521
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15000
243.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30069
487.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3127
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
81230
94.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
230766
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
15892
1.26 KIPS |
|
|
Object Detection (Q)
|
88% |
26599
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
36436
432.9 IPS |
|
|
Face Detection (Q)
|
100% |
86631
1.03 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4172
32.1 IPS |
|
|
Depth Estimation (HP)
|
92% |
65716
509.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
146461
1.14 KIPS |
|
|
Style Transfer (SP)
|
100% |
7914
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
162542
209.0 IPS |
|
|
Style Transfer (Q)
|
98% |
370581
477.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30032
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65053
2.41 KIPS |
|
|
Text Classification (SP)
|
100% |
1994
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (Q)
|
92% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5931
102.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7159
123.3 IPS |
