Micro-Star International Co., Ltd. Thin 15 B12UC
Geekbench AI Score
2087
Single Precision Score
909
Half Precision Score
4069
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | neocoretexxx |
| Upload Date | June 18 2025 06:23 PM |
| Views | 8 |
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% |
1821
338.7 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (Q)
|
99% |
3844
716.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2378
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1682
1.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
7968
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.3 IPS |
|
|
Object Detection (Q)
|
86% |
3890
312.7 IPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
6176
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2929
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1231
9.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
9122
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6497
8.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4702
6.04 IPS |
|
|
Style Transfer (Q)
|
98% |
12147
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2654
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.5 IPS |
|
|
Text Classification (Q)
|
97% |
1347
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
65% |
1799
36.2 IPS |
