User | MrCrispr |
Upload Date | September 23 2024 06:34 AM |
Views | 2 |
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% |
6652
1.24 KIPS |
|
Image Classification (HP)
|
100% |
6817
1.27 KIPS |
|
Image Classification (Q)
|
100% |
14430
2.68 KIPS |
|
Image Segmentation (SP)
|
100% |
8637
140.0 IPS |
|
Image Segmentation (HP)
|
100% |
9191
149.0 IPS |
|
Image Segmentation (Q)
|
99% |
18649
302.3 IPS |
|
Pose Estimation (SP)
|
100% |
28917
33.7 IPS |
|
Pose Estimation (HP)
|
100% |
29371
34.3 IPS |
|
Pose Estimation (Q)
|
98% |
117480
137.5 IPS |
|
Object Detection (SP)
|
100% |
7955
631.0 IPS |
|
Object Detection (HP)
|
100% |
8245
654.0 IPS |
|
Object Detection (Q)
|
88% |
18550
1.49 KIPS |
|
Face Detection (SP)
|
100% |
19615
233.1 IPS |
|
Face Detection (HP)
|
100% |
20098
238.8 IPS |
|
Face Detection (Q)
|
100% |
50660
602.0 IPS |
|
Depth Estimation (SP)
|
100% |
24417
188.1 IPS |
|
Depth Estimation (HP)
|
99% |
24551
189.2 IPS |
|
Depth Estimation (Q)
|
88% |
61950
482.0 IPS |
|
Style Transfer (SP)
|
100% |
77637
99.8 IPS |
|
Style Transfer (HP)
|
100% |
78094
100.4 IPS |
|
Style Transfer (Q)
|
98% |
275537
355.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
14430
532.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
14095
520.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
38770
1.44 KIPS |
|
Text Classification (SP)
|
100% |
5056
6.75 KIPS |
|
Text Classification (HP)
|
100% |
4967
6.63 KIPS |
|
Text Classification (Q)
|
92% |
6085
8.17 KIPS |
|
Machine Translation (SP)
|
100% |
7060
121.6 IPS |
|
Machine Translation (HP)
|
100% |
7018
120.9 IPS |
|
Machine Translation (Q)
|
100% |
7160
123.3 IPS |