| User | MrCrispr |
| Upload Date | August 31 2025 02:03 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (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 |
| 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% |
7568
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7488
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
17841
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10193
165.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9881
160.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29029
470.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
31971
37.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31505
36.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
127652
149.4 IPS |
|
|
Object Detection (SP)
|
100% |
9045
717.5 IPS |
|
|
Object Detection (HP)
|
100% |
8787
697.0 IPS |
|
|
Object Detection (Q)
|
88% |
20849
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
19139
227.4 IPS |
|
|
Face Detection (HP)
|
100% |
18679
222.0 IPS |
|
|
Face Detection (Q)
|
100% |
51676
614.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24565
189.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24568
189.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
70828
551.2 IPS |
|
|
Style Transfer (SP)
|
100% |
82777
106.4 IPS |
|
|
Style Transfer (HP)
|
100% |
82402
105.9 IPS |
|
|
Style Transfer (Q)
|
98% |
293658
378.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15815
584.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15799
583.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40328
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5522
7.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5149
6.87 KIPS |
|
|
Text Classification (Q)
|
92% |
6011
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
8891
153.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9202
158.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9540
164.3 IPS |