Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
2770
Single Precision Score
8835
Half Precision Score
13788
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 01:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
6523
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
8907
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3061
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4490
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
29608
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63043
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
100% |
5222
414.2 IPS |
|
|
Object Detection (Q)
|
88% |
8765
702.7 IPS |
|
|
Face Detection (SP)
|
100% |
4591
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
14612
173.6 IPS |
|
|
Face Detection (Q)
|
100% |
27902
331.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4306
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16222
125.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30306
235.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13035
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46659
60.0 IPS |
|
|
Style Transfer (Q)
|
98% |
83154
107.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14106
520.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28624
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1914
2.56 KIPS |
|
|
Text Classification (Q)
|
92% |
1965
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3973
68.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4169
71.8 IPS |
