| Upload Date | December 07 2025 05:17 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5025
934.5 IPS |
|
|
Image Classification (HP)
|
100% |
5105
949.4 IPS |
|
|
Image Classification (Q)
|
100% |
12932
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7117
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7009
113.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19109
309.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15996
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15979
18.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
62455
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
5722
453.9 IPS |
|
|
Object Detection (HP)
|
100% |
5902
468.1 IPS |
|
|
Object Detection (Q)
|
88% |
14515
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
13985
166.2 IPS |
|
|
Face Detection (HP)
|
100% |
14229
169.1 IPS |
|
|
Face Detection (Q)
|
100% |
36676
435.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16479
127.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16181
124.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
43872
341.4 IPS |
|
|
Style Transfer (SP)
|
100% |
41464
53.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41480
53.3 IPS |
|
|
Style Transfer (Q)
|
98% |
148290
191.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8253
304.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8350
308.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23005
852.0 IPS |
|
|
Text Classification (SP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (Q)
|
92% |
4212
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
6027
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5929
102.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6844
117.9 IPS |