User | usr |
Upload Date | June 18 2025 10:32 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i7-14700K |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-A WIFI |
Power Plan | Bilanciato |
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% |
4734
880.3 IPS |
|
Image Classification (HP)
|
100% |
4844
900.9 IPS |
|
Image Classification (Q)
|
100% |
10390
1.93 KIPS |
|
Image Segmentation (SP)
|
100% |
6388
103.6 IPS |
|
Image Segmentation (HP)
|
100% |
6336
102.7 IPS |
|
Image Segmentation (Q)
|
99% |
11519
186.7 IPS |
|
Pose Estimation (SP)
|
100% |
9222
10.8 IPS |
|
Pose Estimation (HP)
|
100% |
9306
10.9 IPS |
|
Pose Estimation (Q)
|
96% |
34785
40.7 IPS |
|
Object Detection (SP)
|
100% |
4802
380.9 IPS |
|
Object Detection (HP)
|
100% |
4689
371.9 IPS |
|
Object Detection (Q)
|
88% |
10875
871.7 IPS |
|
Face Detection (SP)
|
100% |
14818
176.1 IPS |
|
Face Detection (HP)
|
100% |
14518
172.5 IPS |
|
Face Detection (Q)
|
100% |
17189
204.2 IPS |
|
Depth Estimation (SP)
|
100% |
12290
94.7 IPS |
|
Depth Estimation (HP)
|
99% |
12047
92.8 IPS |
|
Depth Estimation (Q)
|
89% |
29947
232.9 IPS |
|
Style Transfer (SP)
|
100% |
18724
24.1 IPS |
|
Style Transfer (HP)
|
100% |
21688
27.9 IPS |
|
Style Transfer (Q)
|
98% |
93747
120.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
5945
219.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
5863
216.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
17400
644.4 IPS |
|
Text Classification (SP)
|
100% |
4080
5.45 KIPS |
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
Text Classification (Q)
|
92% |
5592
7.51 KIPS |
|
Machine Translation (SP)
|
100% |
5943
102.4 IPS |
|
Machine Translation (HP)
|
100% |
5941
102.3 IPS |
|
Machine Translation (Q)
|
100% |
5967
102.8 IPS |