Micro-Star International Co., Ltd. Stealth 15M B12UE
Geekbench AI Score
3727
Single Precision Score
3732
Half Precision Score
8585
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 06:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
2294
426.6 IPS |
|
|
Image Classification (HP)
|
100% |
2424
450.7 IPS |
|
|
Image Classification (Q)
|
100% |
5197
966.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2633
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5121
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4259
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4200
4.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
16205
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2353
186.6 IPS |
|
|
Object Detection (HP)
|
100% |
2110
167.4 IPS |
|
|
Object Detection (Q)
|
88% |
5650
452.9 IPS |
|
|
Face Detection (SP)
|
100% |
5717
67.9 IPS |
|
|
Face Detection (HP)
|
100% |
5637
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
12844
152.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5870
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5917
45.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
14269
111.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12622
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12660
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
42322
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2764
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8980
332.5 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (Q)
|
92% |
3570
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3590
61.8 IPS |
