Upload Date | April 13 2025 12:57 PM |
Views | 1 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i7-14700K |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Professionnel (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI |
Power Plan | Utilisation normale |
CPU Information | |
---|---|
Name | Intel Core i7-14700K |
Topology | 1 Processor, 20 Cores, 28 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.40 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 12 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4693
872.7 IPS |
|
Image Classification (HP)
|
100% |
4635
862.1 IPS |
|
Image Classification (Q)
|
100% |
9966
1.85 KIPS |
|
Image Segmentation (SP)
|
100% |
6299
102.1 IPS |
|
Image Segmentation (HP)
|
100% |
6392
103.6 IPS |
|
Image Segmentation (Q)
|
99% |
11660
189.0 IPS |
|
Pose Estimation (SP)
|
100% |
8235
9.61 IPS |
|
Pose Estimation (HP)
|
100% |
8386
9.78 IPS |
|
Pose Estimation (Q)
|
96% |
19411
22.7 IPS |
|
Object Detection (SP)
|
100% |
4312
342.0 IPS |
|
Object Detection (HP)
|
100% |
4064
322.4 IPS |
|
Object Detection (Q)
|
88% |
10940
876.9 IPS |
|
Face Detection (SP)
|
100% |
12771
151.7 IPS |
|
Face Detection (HP)
|
100% |
12578
149.5 IPS |
|
Face Detection (Q)
|
100% |
26054
309.6 IPS |
|
Depth Estimation (SP)
|
100% |
10472
80.7 IPS |
|
Depth Estimation (HP)
|
99% |
10760
82.9 IPS |
|
Depth Estimation (Q)
|
89% |
28630
222.7 IPS |
|
Style Transfer (SP)
|
100% |
26677
34.3 IPS |
|
Style Transfer (HP)
|
100% |
24594
31.6 IPS |
|
Style Transfer (Q)
|
98% |
90549
116.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
5703
210.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
5568
205.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
17857
661.3 IPS |
|
Text Classification (SP)
|
100% |
4085
5.45 KIPS |
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
Text Classification (Q)
|
92% |
5551
7.46 KIPS |
|
Machine Translation (SP)
|
100% |
5523
95.1 IPS |
|
Machine Translation (HP)
|
100% |
5487
94.5 IPS |
|
Machine Translation (Q)
|
100% |
5407
93.1 IPS |