Micro-Star International Co., Ltd. Cyborg 15 A12VE
Geekbench AI Score
2590
Single Precision Score
2564
Half Precision Score
6145
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Dorazo |
| Upload Date | December 31 2024 10:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1722
320.3 IPS |
|
|
Image Classification (HP)
|
100% |
1485
276.1 IPS |
|
|
Image Classification (Q)
|
100% |
3889
723.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3575
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3248
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3384
3.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
12335
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1665
132.1 IPS |
|
|
Object Detection (HP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (Q)
|
88% |
3773
302.4 IPS |
|
|
Face Detection (SP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (Q)
|
100% |
9078
107.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4310
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4331
33.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
8756
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8447
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8315
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28131
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5925
219.4 IPS |
|
|
Text Classification (SP)
|
100% |
1772
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3413
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2626
45.2 IPS |
