Micro-Star International Co., Ltd. Thin 15 B12UC
Geekbench AI Score
8036
Single Precision Score
14845
Half Precision Score
5693
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | neocoretexxx |
| Upload Date | June 15 2025 10:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| 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% |
3005
558.9 IPS |
|
|
Image Classification (HP)
|
99% |
5799
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
2700
503.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5026
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8874
143.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4560
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32072
37.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
95992
112.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
28151
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
4289
340.2 IPS |
|
|
Object Detection (HP)
|
100% |
7323
580.8 IPS |
|
|
Object Detection (Q)
|
84% |
3490
281.5 IPS |
|
|
Face Detection (SP)
|
100% |
8425
100.1 IPS |
|
|
Face Detection (HP)
|
100% |
15135
179.8 IPS |
|
|
Face Detection (Q)
|
97% |
7320
87.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17940
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39317
302.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13927
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56450
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
157357
202.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46518
60.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11952
441.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21598
797.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7090
262.5 IPS |
|
|
Text Classification (SP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (HP)
|
99% |
2716
3.63 KIPS |
|
|
Text Classification (Q)
|
97% |
835
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2517
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2617
45.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1054
19.8 IPS |
