User | Kos72 |
Upload Date | November 21 2024 04:31 PM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i9-14900KF |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
Power Plan | Prestazioni elevate |
CPU Information | |
---|---|
Name | Intel Core i9-14900KF |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.20 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4425
822.9 IPS |
|
Image Classification (HP)
|
100% |
4451
827.7 IPS |
|
Image Classification (Q)
|
100% |
3604
670.2 IPS |
|
Image Segmentation (SP)
|
100% |
5896
95.6 IPS |
|
Image Segmentation (HP)
|
100% |
5841
94.7 IPS |
|
Image Segmentation (Q)
|
99% |
3185
51.6 IPS |
|
Pose Estimation (SP)
|
100% |
13249
15.5 IPS |
|
Pose Estimation (HP)
|
100% |
13201
15.4 IPS |
|
Pose Estimation (Q)
|
96% |
16361
19.2 IPS |
|
Object Detection (SP)
|
100% |
4180
331.5 IPS |
|
Object Detection (HP)
|
100% |
4190
332.3 IPS |
|
Object Detection (Q)
|
88% |
3891
311.9 IPS |
|
Face Detection (SP)
|
100% |
13795
163.9 IPS |
|
Face Detection (HP)
|
100% |
13910
165.3 IPS |
|
Face Detection (Q)
|
100% |
9370
111.3 IPS |
|
Depth Estimation (SP)
|
100% |
13300
102.5 IPS |
|
Depth Estimation (HP)
|
99% |
13322
102.6 IPS |
|
Depth Estimation (Q)
|
89% |
9332
72.6 IPS |
|
Style Transfer (SP)
|
100% |
39237
50.4 IPS |
|
Style Transfer (HP)
|
100% |
39103
50.3 IPS |
|
Style Transfer (Q)
|
98% |
28003
36.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
6290
232.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
6261
231.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
5799
214.8 IPS |
|
Text Classification (SP)
|
100% |
1930
2.58 KIPS |
|
Text Classification (HP)
|
100% |
1967
2.63 KIPS |
|
Text Classification (Q)
|
92% |
2118
2.84 KIPS |
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
Machine Translation (HP)
|
100% |
3745
64.5 IPS |
|
Machine Translation (Q)
|
100% |
3708
63.9 IPS |