| User | Scorpion95 |
| Upload Date | August 17 2024 06:05 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3101
576.6 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.8 IPS |
|
|
Image Classification (Q)
|
100% |
4129
767.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1644
26.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4836
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12408
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12400
14.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
14169
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
3599
285.5 IPS |
|
|
Object Detection (HP)
|
100% |
3441
272.9 IPS |
|
|
Object Detection (Q)
|
87% |
4463
357.9 IPS |
|
|
Face Detection (SP)
|
100% |
7815
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
7999
95.0 IPS |
|
|
Face Detection (Q)
|
97% |
16133
192.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10176
78.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
10017
77.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
14014
111.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33722
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33939
43.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39983
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6317
233.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6351
234.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7372
273.1 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
91% |
229
307.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2332
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2357
40.6 IPS |
|
|
Machine Translation (Q)
|
90% |
1355
23.5 IPS |