User | MrCrispr |
Upload Date | September 30 2024 12:35 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% |
5527
1.03 KIPS |
|
Image Classification (HP)
|
100% |
6345
1.18 KIPS |
|
Image Classification (Q)
|
100% |
13420
2.50 KIPS |
|
Image Segmentation (SP)
|
100% |
7366
119.4 IPS |
|
Image Segmentation (HP)
|
100% |
7236
117.3 IPS |
|
Image Segmentation (Q)
|
99% |
15856
257.0 IPS |
|
Pose Estimation (SP)
|
100% |
27841
32.5 IPS |
|
Pose Estimation (HP)
|
100% |
28577
33.3 IPS |
|
Pose Estimation (Q)
|
98% |
115650
135.4 IPS |
|
Object Detection (SP)
|
100% |
7121
564.9 IPS |
|
Object Detection (HP)
|
100% |
7234
573.8 IPS |
|
Object Detection (Q)
|
88% |
15997
1.28 KIPS |
|
Face Detection (SP)
|
100% |
15331
182.2 IPS |
|
Face Detection (HP)
|
100% |
15797
187.7 IPS |
|
Face Detection (Q)
|
100% |
39560
470.1 IPS |
|
Depth Estimation (SP)
|
100% |
20719
159.6 IPS |
|
Depth Estimation (HP)
|
99% |
20200
155.6 IPS |
|
Depth Estimation (Q)
|
88% |
57180
444.9 IPS |
|
Style Transfer (SP)
|
100% |
73296
94.2 IPS |
|
Style Transfer (HP)
|
100% |
73567
94.6 IPS |
|
Style Transfer (Q)
|
98% |
262274
338.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
13069
482.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
13357
493.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
36057
1.34 KIPS |
|
Text Classification (SP)
|
100% |
4499
6.00 KIPS |
|
Text Classification (HP)
|
100% |
4540
6.06 KIPS |
|
Text Classification (Q)
|
92% |
5502
7.39 KIPS |
|
Machine Translation (SP)
|
100% |
6283
108.2 IPS |
|
Machine Translation (HP)
|
100% |
6233
107.4 IPS |
|
Machine Translation (Q)
|
100% |
5909
101.8 IPS |