Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
6066
Single Precision Score
9225
Half Precision Score
12898
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 01:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
4149
771.5 IPS |
|
|
Image Classification (HP)
|
100% |
5893
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
7100
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4034
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8890
144.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12493
202.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15422
18.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
14462
16.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
40547
47.5 IPS |
|
|
Object Detection (SP)
|
100% |
3944
312.9 IPS |
|
|
Object Detection (HP)
|
100% |
6081
482.4 IPS |
|
|
Object Detection (Q)
|
88% |
6380
511.3 IPS |
|
|
Face Detection (SP)
|
100% |
7883
93.7 IPS |
|
|
Face Detection (HP)
|
100% |
15813
187.9 IPS |
|
|
Face Detection (Q)
|
100% |
23859
283.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14459
111.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
24215
187.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26287
204.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36486
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49871
64.1 IPS |
|
|
Style Transfer (Q)
|
98% |
113772
146.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6303
232.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10971
405.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15935
590.1 IPS |
|
|
Text Classification (SP)
|
71% |
1324
1.92 KIPS |
|
|
Text Classification (HP)
|
71% |
1914
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2020
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1910
32.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2418
41.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2419
41.7 IPS |
