User | MrCrispr |
Upload Date | September 23 2024 01:40 AM |
Views | 4 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 9950X 16-Core Processor |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.30 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
6681
1.24 KIPS |
|
Image Classification (HP)
|
100% |
6621
1.23 KIPS |
|
Image Classification (Q)
|
100% |
14970
2.78 KIPS |
|
Image Segmentation (SP)
|
100% |
8053
130.6 IPS |
|
Image Segmentation (HP)
|
100% |
7833
127.0 IPS |
|
Image Segmentation (Q)
|
99% |
17256
279.7 IPS |
|
Pose Estimation (SP)
|
100% |
28672
33.5 IPS |
|
Pose Estimation (HP)
|
100% |
28681
33.5 IPS |
|
Pose Estimation (Q)
|
98% |
116809
136.8 IPS |
|
Object Detection (SP)
|
100% |
6516
516.9 IPS |
|
Object Detection (HP)
|
100% |
6591
522.8 IPS |
|
Object Detection (Q)
|
88% |
16715
1.34 KIPS |
|
Face Detection (SP)
|
100% |
17039
202.5 IPS |
|
Face Detection (HP)
|
100% |
18083
214.9 IPS |
|
Face Detection (Q)
|
100% |
49710
590.7 IPS |
|
Depth Estimation (SP)
|
100% |
23074
177.8 IPS |
|
Depth Estimation (HP)
|
99% |
22371
172.4 IPS |
|
Depth Estimation (Q)
|
88% |
60549
471.1 IPS |
|
Style Transfer (SP)
|
100% |
75832
97.5 IPS |
|
Style Transfer (HP)
|
100% |
76110
97.8 IPS |
|
Style Transfer (Q)
|
98% |
268783
346.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
13894
513.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
13648
503.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
36452
1.35 KIPS |
|
Text Classification (SP)
|
100% |
4777
6.38 KIPS |
|
Text Classification (HP)
|
100% |
4807
6.42 KIPS |
|
Text Classification (Q)
|
92% |
6168
8.29 KIPS |
|
Machine Translation (SP)
|
100% |
6942
119.6 IPS |
|
Machine Translation (HP)
|
100% |
6881
118.5 IPS |
|
Machine Translation (Q)
|
100% |
6834
117.7 IPS |