Micro-Star International Co., Ltd. Thin 15 B12UC
Geekbench AI Score
1102
Single Precision Score
1109
Half Precision Score
2684
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 12:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Thin 15 B12UC |
| Motherboard | Micro-Star International Co., Ltd. MS-16R8 |
| Power Plan | Dengeli |
| 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% |
868
161.4 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.8 IPS |
|
|
Image Classification (Q)
|
100% |
1430
265.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2344
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1180
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1224
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
4713
5.52 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (HP)
|
100% |
791
62.8 IPS |
|
|
Object Detection (Q)
|
88% |
1395
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
1211
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
834
9.91 IPS |
|
|
Face Detection (Q)
|
100% |
3250
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1433
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1925
14.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4678
36.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3218
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2479
3.19 IPS |
|
|
Style Transfer (Q)
|
98% |
10145
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3239
119.9 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
92% |
1817
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
100% |
973
16.8 IPS |
