Micro-Star International Co., Ltd. Thin 15 B12UC
Geekbench AI Score
2717
Single Precision Score
2639
Half Precision Score
6704
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | neocoretexxx |
| Upload Date | June 15 2025 10:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
1812
337.1 IPS |
|
|
Image Classification (HP)
|
100% |
1742
324.0 IPS |
|
|
Image Classification (Q)
|
100% |
4445
826.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4197
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3501
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3484
4.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
9081
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1681
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (Q)
|
88% |
4353
348.9 IPS |
|
|
Face Detection (SP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3648
43.3 IPS |
|
|
Face Detection (Q)
|
100% |
9765
116.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3870
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4148
32.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10413
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8332
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8902
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33270
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2100
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7070
261.8 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1980
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
3536
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2915
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2554
44.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2943
50.7 IPS |
