Micro-Star International Co., Ltd. Thin 15 B12UCX
Geekbench AI Score
3049
Single Precision Score
1375
Half Precision Score
6024
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 07:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12650H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Thin 15 B12UCX |
| Motherboard | Micro-Star International Co., Ltd. MS-16R8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2313
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
99% |
4841
902.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6809
110.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4720
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3494
4.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
16734
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.5 IPS |
|
|
Object Detection (Q)
|
86% |
5226
420.0 IPS |
|
|
Face Detection (SP)
|
100% |
4760
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
1495
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
7496
89.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6209
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1920
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12056
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11096
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8279
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13605
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2303
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4632
171.5 IPS |
|
|
Text Classification (SP)
|
100% |
1464
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
714
953.0 IPS |
|
|
Text Classification (Q)
|
97% |
1396
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1802
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2750
55.3 IPS |
