Micro-Star International Co., Ltd. Thin 15 B12UC
Geekbench AI Score
2281
Single Precision Score
1013
Half Precision Score
4509
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | neocoretexxx |
| Upload Date | June 15 2025 10:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Thin 15 B12UC |
| Motherboard | Micro-Star International Co., Ltd. MS-16R8 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1890
351.4 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
99% |
3989
743.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2523
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3690
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1837
2.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
11332
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
86% |
4145
333.2 IPS |
|
|
Face Detection (SP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
5896
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3361
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1346
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9840
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7488
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
5237
6.73 IPS |
|
|
Style Transfer (Q)
|
98% |
13275
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1702
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2905
107.6 IPS |
|
|
Text Classification (SP)
|
100% |
1241
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
656
874.9 IPS |
|
|
Text Classification (Q)
|
97% |
1462
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
65% |
2249
45.2 IPS |
