| User | MrCrispr |
| Upload Date | September 30 2024 06:09 AM |
| Views | 13 |
| 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% |
7076
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
6955
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
15890
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9895
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8225
133.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17889
290.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32614
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33123
38.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
129382
151.5 IPS |
|
|
Object Detection (SP)
|
100% |
8375
664.3 IPS |
|
|
Object Detection (HP)
|
100% |
8624
684.0 IPS |
|
|
Object Detection (Q)
|
88% |
19377
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
18625
221.3 IPS |
|
|
Face Detection (HP)
|
100% |
19652
233.5 IPS |
|
|
Face Detection (Q)
|
100% |
49449
587.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25591
197.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25576
197.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
67215
523.0 IPS |
|
|
Style Transfer (SP)
|
100% |
85566
110.0 IPS |
|
|
Style Transfer (HP)
|
100% |
84444
108.6 IPS |
|
|
Style Transfer (Q)
|
98% |
298768
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15589
575.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15166
560.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40315
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5477
7.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5094
6.80 KIPS |
|
|
Text Classification (Q)
|
92% |
6045
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
8153
140.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7912
136.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7523
129.6 IPS |