Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
2596
Single Precision Score
1033
Half Precision Score
4563
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 10:39 AM |
| 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 | 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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
349
65.0 IPS |
|
|
Image Classification (Q)
|
99% |
4159
775.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
2297
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4477
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3150
3.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
16172
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
4272
343.3 IPS |
|
|
Face Detection (SP)
|
100% |
4693
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
5910
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5687
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1457
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10376
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10729
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7665
9.85 IPS |
|
|
Style Transfer (Q)
|
98% |
13735
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2690
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
496
661.7 IPS |
|
|
Text Classification (Q)
|
97% |
1158
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (Q)
|
65% |
2262
45.5 IPS |
