Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
2716
Single Precision Score
4521
Half Precision Score
1913
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 10:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 |
| Power Plan | Ultimate Performance |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
2982
554.6 IPS |
|
|
Image Classification (Q)
|
100% |
1280
238.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4147
67.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1214
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6394
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
10311
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
5501
6.45 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (HP)
|
99% |
3233
257.2 IPS |
|
|
Object Detection (Q)
|
86% |
1355
108.9 IPS |
|
|
Face Detection (SP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
4460
53.0 IPS |
|
|
Face Detection (Q)
|
97% |
1699
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5677
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12224
94.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
4375
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23981
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
42839
55.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16115
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4610
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6734
248.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2201
81.5 IPS |
|
|
Text Classification (SP)
|
86% |
491
664.0 IPS |
|
|
Text Classification (HP)
|
99% |
416
555.9 IPS |
|
|
Text Classification (Q)
|
84% |
369
500.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
70% |
583
10.9 IPS |
