User | rennsport |
Upload Date | February 05 2025 01:08 PM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 7900X 12-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7900X |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.70 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4632
861.4 IPS |
|
Image Classification (HP)
|
100% |
4687
871.6 IPS |
|
Image Classification (Q)
|
100% |
10153
1.89 KIPS |
|
Image Segmentation (SP)
|
100% |
5874
95.2 IPS |
|
Image Segmentation (HP)
|
100% |
5772
93.6 IPS |
|
Image Segmentation (Q)
|
99% |
14851
240.7 IPS |
|
Pose Estimation (SP)
|
100% |
13026
15.2 IPS |
|
Pose Estimation (HP)
|
100% |
12993
15.2 IPS |
|
Pose Estimation (Q)
|
98% |
51459
60.2 IPS |
|
Object Detection (SP)
|
100% |
4959
393.3 IPS |
|
Object Detection (HP)
|
100% |
4863
385.7 IPS |
|
Object Detection (Q)
|
88% |
11479
920.2 IPS |
|
Face Detection (SP)
|
100% |
11824
140.5 IPS |
|
Face Detection (HP)
|
100% |
11885
141.2 IPS |
|
Face Detection (Q)
|
100% |
30577
363.3 IPS |
|
Depth Estimation (SP)
|
100% |
12956
99.8 IPS |
|
Depth Estimation (HP)
|
99% |
12828
98.8 IPS |
|
Depth Estimation (Q)
|
88% |
36559
284.5 IPS |
|
Style Transfer (SP)
|
100% |
33790
43.4 IPS |
|
Style Transfer (HP)
|
100% |
33921
43.6 IPS |
|
Style Transfer (Q)
|
98% |
123792
159.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
7209
266.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
7151
264.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
20614
763.4 IPS |
|
Text Classification (SP)
|
100% |
3588
4.79 KIPS |
|
Text Classification (HP)
|
100% |
3616
4.83 KIPS |
|
Text Classification (Q)
|
92% |
4384
5.89 KIPS |
|
Machine Translation (SP)
|
100% |
5000
86.1 IPS |
|
Machine Translation (HP)
|
100% |
5031
86.7 IPS |
|
Machine Translation (Q)
|
100% |
5660
97.5 IPS |