Micro-Star International Co., Ltd. Stealth 15M B12UE
Geekbench AI Score
8744
Single Precision Score
12908
Half Precision Score
6508
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 06:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| 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% |
3722
692.2 IPS |
|
|
Image Classification (HP)
|
100% |
3892
723.8 IPS |
|
|
Image Classification (Q)
|
99% |
3485
650.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6034
97.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7076
114.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5175
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
35455
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
167659
195.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31375
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4801
380.8 IPS |
|
|
Object Detection (HP)
|
100% |
5188
411.5 IPS |
|
|
Object Detection (Q)
|
85% |
4025
324.0 IPS |
|
|
Face Detection (SP)
|
100% |
10613
126.1 IPS |
|
|
Face Detection (HP)
|
100% |
11294
134.2 IPS |
|
|
Face Detection (Q)
|
97% |
8964
106.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20162
155.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27159
209.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
15753
126.1 IPS |
|
|
Style Transfer (SP)
|
100% |
68057
87.5 IPS |
|
|
Style Transfer (HP)
|
100% |
201312
258.8 IPS |
|
|
Style Transfer (Q)
|
98% |
56561
72.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13589
501.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22487
830.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9204
340.8 IPS |
|
|
Text Classification (SP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1899
2.53 KIPS |
|
|
Text Classification (Q)
|
97% |
757
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2232
38.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2033
35.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1077
20.2 IPS |
