Micro-Star International Co., Ltd. PRO MTL-H Cubi NUC AI 1UM (MS-B209)
Geekbench AI Score
6184
Single Precision Score
9819
Half Precision Score
14297
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 01:52 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% |
4371
812.9 IPS |
|
|
Image Classification (HP)
|
100% |
6313
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
7638
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4204
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9792
158.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13093
212.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14869
17.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
14249
16.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
49337
57.8 IPS |
|
|
Object Detection (SP)
|
100% |
4141
328.5 IPS |
|
|
Object Detection (HP)
|
100% |
6749
535.3 IPS |
|
|
Object Detection (Q)
|
88% |
9639
772.4 IPS |
|
|
Face Detection (SP)
|
100% |
8094
96.2 IPS |
|
|
Face Detection (HP)
|
100% |
16429
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
25434
302.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14326
110.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
25570
197.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
26392
205.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36890
47.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49839
64.1 IPS |
|
|
Style Transfer (Q)
|
98% |
113713
146.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6686
246.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11365
419.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15886
588.3 IPS |
|
|
Text Classification (SP)
|
71% |
1270
1.84 KIPS |
|
|
Text Classification (HP)
|
71% |
1881
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
1936
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3132
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3198
55.3 IPS |
