Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
2912
Single Precision Score
1173
Half Precision Score
5536
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bloghtpc |
| Upload Date | January 22 2026 07:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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 | Equilibrado |
| 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% |
2242
417.0 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.7 IPS |
|
|
Image Classification (Q)
|
99% |
4540
846.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6649
108.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4950
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
18858
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2139
169.6 IPS |
|
|
Object Detection (HP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (Q)
|
86% |
4633
372.3 IPS |
|
|
Face Detection (SP)
|
100% |
5254
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
6788
80.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6330
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1617
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11503
91.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11521
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8185
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15195
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2108
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1515
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3403
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
568
758.7 IPS |
|
|
Text Classification (Q)
|
97% |
1126
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2259
45.4 IPS |
