| User | Andishack |
| Upload Date | December 26 2025 10:10 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3868
719.4 IPS |
|
|
Image Classification (HP)
|
100% |
4178
777.0 IPS |
|
|
Image Classification (Q)
|
100% |
10129
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4855
78.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5902
95.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8000
129.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8166
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
8183
9.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
31714
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3755
297.8 IPS |
|
|
Object Detection (HP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (Q)
|
88% |
10751
861.8 IPS |
|
|
Face Detection (SP)
|
100% |
10591
125.8 IPS |
|
|
Face Detection (HP)
|
100% |
12226
145.3 IPS |
|
|
Face Detection (Q)
|
100% |
25398
301.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9672
74.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10308
79.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
25865
201.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24691
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25110
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
85577
110.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4933
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4927
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17380
643.7 IPS |
|
|
Text Classification (SP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
92% |
5561
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4853
83.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5073
87.4 IPS |