Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
2739
Single Precision Score
2691
Half Precision Score
6141
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 01:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (Q)
|
100% |
4097
762.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2234
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3954
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4516
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4536
5.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
14856
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (Q)
|
88% |
3741
299.9 IPS |
|
|
Face Detection (SP)
|
100% |
4608
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
8226
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4187
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4141
31.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
9761
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13127
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12997
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39235
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6608
244.7 IPS |
|
|
Text Classification (SP)
|
100% |
1593
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
2971
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1372
23.6 IPS |
