Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
2704
Single Precision Score
8188
Half Precision Score
13051
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bloghtpc |
| Upload Date | January 22 2026 07:14 PM |
| Views | 3 |
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 MTL-H Cubi NUC AI 1UM (MS-B209) |
| Motherboard | Micro-Star International Co., Ltd. MS-B2091 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
6068
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8838
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3100
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4579
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
29913
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
63500
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
100% |
4865
385.9 IPS |
|
|
Object Detection (Q)
|
88% |
8687
696.5 IPS |
|
|
Face Detection (SP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
13024
154.8 IPS |
|
|
Face Detection (Q)
|
100% |
26173
311.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4389
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12915
99.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
24534
190.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13024
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37689
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
73625
94.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14324
528.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27564
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1887
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3858
66.5 IPS |
