| Upload Date | September 17 2025 02:08 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7257
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7213
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
18520
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9790
158.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9705
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
28006
454.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
30361
35.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31029
36.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
125063
146.4 IPS |
|
|
Object Detection (SP)
|
100% |
8655
686.5 IPS |
|
|
Object Detection (HP)
|
100% |
8997
713.7 IPS |
|
|
Object Detection (Q)
|
88% |
20838
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
18831
223.8 IPS |
|
|
Face Detection (HP)
|
100% |
19268
228.9 IPS |
|
|
Face Detection (Q)
|
100% |
52341
621.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25670
197.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25928
199.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
66567
518.0 IPS |
|
|
Style Transfer (SP)
|
100% |
80778
103.8 IPS |
|
|
Style Transfer (HP)
|
100% |
81545
104.8 IPS |
|
|
Style Transfer (Q)
|
98% |
278202
358.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15030
555.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15014
554.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39052
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4852
6.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5021
6.70 KIPS |
|
|
Text Classification (Q)
|
92% |
5594
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
8646
148.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8729
150.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9285
159.9 IPS |