Micro-Star International Co., Ltd. Cyborg 15 A12VE
Geekbench AI Score
2507
Single Precision Score
1231
Half Precision Score
5163
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | JMALkreadmy |
| Upload Date | December 03 2025 04:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Cyborg 15 A12VE |
| Motherboard | Micro-Star International Co., Ltd. MS-15K1 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1897
352.8 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
99% |
3817
712.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5159
83.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3623
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
12399
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.8 IPS |
|
|
Object Detection (HP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (Q)
|
86% |
3942
316.8 IPS |
|
|
Face Detection (SP)
|
100% |
4893
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
6719
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4995
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1835
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10055
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8594
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7028
9.03 IPS |
|
|
Style Transfer (Q)
|
98% |
16466
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4019
148.8 IPS |
|
|
Text Classification (SP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
659
880.0 IPS |
|
|
Text Classification (Q)
|
97% |
1339
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2338
47.0 IPS |
