Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
2760
Single Precision Score
8256
Half Precision Score
12492
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 01:35 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% |
1352
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
6175
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8650
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2242
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2841
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4143
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
30076
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
62169
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
5022
398.3 IPS |
|
|
Object Detection (Q)
|
88% |
7735
620.1 IPS |
|
|
Face Detection (SP)
|
100% |
4689
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
13487
160.3 IPS |
|
|
Face Detection (Q)
|
100% |
24104
286.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4230
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16251
125.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
29723
231.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12988
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45912
59.0 IPS |
|
|
Style Transfer (Q)
|
98% |
83007
107.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2000
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13490
498.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24533
908.5 IPS |
|
|
Text Classification (SP)
|
100% |
1604
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1888
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1922
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2794
48.1 IPS |
