Micro-Star International Co., Ltd. Stealth 15M B12UE
Geekbench AI Score
3247
Single Precision Score
1235
Half Precision Score
4839
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 06:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1280P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth 15M B12UE |
| Motherboard | Micro-Star International Co., Ltd. MS-15B1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1280P |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2594
482.3 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
99% |
4680
872.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4723
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5272
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3301
3.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
17760
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
4382
352.2 IPS |
|
|
Face Detection (SP)
|
100% |
6203
73.7 IPS |
|
|
Face Detection (HP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
7210
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6863
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1715
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11304
90.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12511
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8047
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17643
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2410
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3823
141.6 IPS |
|
|
Text Classification (SP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
591
789.0 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
1858
37.3 IPS |
