Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
2696
Single Precision Score
2648
Half Precision Score
6140
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bloghtpc |
| Upload Date | January 22 2026 07:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
1411
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
1428
265.5 IPS |
|
|
Image Classification (Q)
|
100% |
4687
871.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4072
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4481
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4589
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
14331
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (Q)
|
88% |
4046
324.3 IPS |
|
|
Face Detection (SP)
|
100% |
3992
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
3910
46.5 IPS |
|
|
Face Detection (Q)
|
100% |
8826
104.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4146
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4158
32.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10843
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11329
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12324
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26510
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2000
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6544
242.3 IPS |
|
|
Text Classification (SP)
|
100% |
1577
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
2865
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1449
25.0 IPS |
