Micro-Star International Co., Ltd. Thin 15 B12UC
Geekbench AI Score
2550
Single Precision Score
3609
Half Precision Score
5778
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | neocoretexxx |
| Upload Date | June 15 2025 10:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1527
283.9 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.1 IPS |
|
|
Image Classification (Q)
|
99% |
3679
686.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3783
61.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4624
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4698
5.48 IPS |
|
|
Pose Estimation (HP)
|
99% |
3386
3.95 IPS |
|
|
Pose Estimation (Q)
|
97% |
14396
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1449
115.0 IPS |
|
|
Object Detection (HP)
|
99% |
2201
174.6 IPS |
|
|
Object Detection (Q)
|
90% |
3817
305.2 IPS |
|
|
Face Detection (SP)
|
100% |
4244
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
6921
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
10440
124.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4770
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8640
66.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11760
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11775
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17077
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32252
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2081
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3336
123.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6845
253.5 IPS |
|
|
Text Classification (SP)
|
71% |
963
1.39 KIPS |
|
|
Text Classification (HP)
|
71% |
1150
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
1167
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1409
24.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1405
24.2 IPS |
