User | MrCrispr |
Upload Date | October 12 2024 04:29 AM |
Views | 3 |
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% |
7059
1.31 KIPS |
|
Image Classification (HP)
|
100% |
7196
1.34 KIPS |
|
Image Classification (Q)
|
100% |
15455
2.87 KIPS |
|
Image Segmentation (SP)
|
100% |
9042
146.6 IPS |
|
Image Segmentation (HP)
|
100% |
9150
148.3 IPS |
|
Image Segmentation (Q)
|
99% |
18556
300.8 IPS |
|
Pose Estimation (SP)
|
100% |
32580
38.0 IPS |
|
Pose Estimation (HP)
|
100% |
32706
38.2 IPS |
|
Pose Estimation (Q)
|
98% |
128700
150.7 IPS |
|
Object Detection (SP)
|
100% |
8616
683.4 IPS |
|
Object Detection (HP)
|
100% |
8601
682.2 IPS |
|
Object Detection (Q)
|
88% |
18610
1.49 KIPS |
|
Face Detection (SP)
|
100% |
21022
249.8 IPS |
|
Face Detection (HP)
|
100% |
17769
211.1 IPS |
|
Face Detection (Q)
|
100% |
48623
577.7 IPS |
|
Depth Estimation (SP)
|
100% |
25054
193.0 IPS |
|
Depth Estimation (HP)
|
99% |
25201
194.2 IPS |
|
Depth Estimation (Q)
|
88% |
66417
516.8 IPS |
|
Style Transfer (SP)
|
100% |
85144
109.5 IPS |
|
Style Transfer (HP)
|
100% |
85094
109.4 IPS |
|
Style Transfer (Q)
|
98% |
299231
385.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
15503
572.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
15300
564.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
39048
1.45 KIPS |
|
Text Classification (SP)
|
100% |
5270
7.03 KIPS |
|
Text Classification (HP)
|
100% |
5225
6.97 KIPS |
|
Text Classification (Q)
|
92% |
6089
8.18 KIPS |
|
Machine Translation (SP)
|
100% |
7683
132.3 IPS |
|
Machine Translation (HP)
|
100% |
7494
129.1 IPS |
|
Machine Translation (Q)
|
100% |
7324
126.2 IPS |