Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
2898
Single Precision Score
8393
Half Precision Score
12630
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 01:23 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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
6145
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8649
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2802
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4641
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
29943
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
63217
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
100% |
5074
402.4 IPS |
|
|
Object Detection (Q)
|
88% |
8255
661.8 IPS |
|
|
Face Detection (SP)
|
100% |
4859
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
14145
168.1 IPS |
|
|
Face Detection (Q)
|
100% |
19618
233.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4590
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15562
119.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
30086
234.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13221
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
46793
60.2 IPS |
|
|
Style Transfer (Q)
|
98% |
86345
111.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13523
499.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26995
999.7 IPS |
|
|
Text Classification (SP)
|
100% |
1592
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (Q)
|
92% |
2061
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1783
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2814
48.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2882
49.6 IPS |
