Micro-Star International Co., Ltd. Stealth 15M B12UE
Geekbench AI Score
4930
Single Precision Score
7067
Half Precision Score
11087
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 06:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
3218
598.4 IPS |
|
|
Image Classification (HP)
|
100% |
4953
921.2 IPS |
|
|
Image Classification (Q)
|
99% |
6856
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4609
74.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7506
121.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11004
178.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10845
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
8186
9.55 IPS |
|
|
Pose Estimation (Q)
|
97% |
33474
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
3044
241.5 IPS |
|
|
Object Detection (HP)
|
100% |
4610
365.6 IPS |
|
|
Object Detection (Q)
|
90% |
7368
589.1 IPS |
|
|
Face Detection (SP)
|
100% |
7084
84.2 IPS |
|
|
Face Detection (HP)
|
100% |
11896
141.3 IPS |
|
|
Face Detection (Q)
|
100% |
18192
216.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10148
78.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
16240
125.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
21540
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27876
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41396
53.2 IPS |
|
|
Style Transfer (Q)
|
98% |
77071
99.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4661
172.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7352
271.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12973
480.4 IPS |
|
|
Text Classification (SP)
|
71% |
1272
1.84 KIPS |
|
|
Text Classification (HP)
|
71% |
1507
2.18 KIPS |
|
|
Text Classification (Q)
|
92% |
1559
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2502
43.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2470
42.5 IPS |
