| User | MrCrispr |
| Upload Date | October 11 2024 01:03 AM |
| Views | 14 |
| 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% |
7079
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7374
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
15699
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8489
137.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8944
145.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15806
256.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28971
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32220
37.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
128678
150.6 IPS |
|
|
Object Detection (SP)
|
100% |
7699
610.7 IPS |
|
|
Object Detection (HP)
|
100% |
7780
617.1 IPS |
|
|
Object Detection (Q)
|
88% |
17067
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
17961
213.4 IPS |
|
|
Face Detection (HP)
|
100% |
17842
212.0 IPS |
|
|
Face Detection (Q)
|
100% |
48805
579.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25273
194.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23680
182.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
62812
488.7 IPS |
|
|
Style Transfer (SP)
|
100% |
74122
95.3 IPS |
|
|
Style Transfer (HP)
|
100% |
83306
107.1 IPS |
|
|
Style Transfer (Q)
|
98% |
298479
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14795
546.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14477
534.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34754
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
4811
6.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4802
6.41 KIPS |
|
|
Text Classification (Q)
|
92% |
6035
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
7778
134.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7923
136.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7351
126.6 IPS |