| Upload Date | November 18 2025 12:02 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7108
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7316
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
17015
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9430
152.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10041
162.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26295
426.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29462
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29591
34.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
119789
140.2 IPS |
|
|
Object Detection (SP)
|
100% |
8038
637.5 IPS |
|
|
Object Detection (HP)
|
100% |
8567
679.5 IPS |
|
|
Object Detection (Q)
|
88% |
19819
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
18826
223.7 IPS |
|
|
Face Detection (HP)
|
100% |
18419
218.9 IPS |
|
|
Face Detection (Q)
|
100% |
52309
621.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25103
193.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26443
203.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
66039
513.9 IPS |
|
|
Style Transfer (SP)
|
100% |
76537
98.4 IPS |
|
|
Style Transfer (HP)
|
100% |
76981
99.0 IPS |
|
|
Style Transfer (Q)
|
98% |
273936
353.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14685
542.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14461
534.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37441
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4832
6.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4602
6.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5438
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
8330
143.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8292
142.8 IPS |
|
|
Machine Translation (Q)
|
100% |
8900
153.3 IPS |