| Upload Date | December 07 2025 05:19 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% |
4867
905.2 IPS |
|
|
Image Classification (HP)
|
100% |
5162
960.0 IPS |
|
|
Image Classification (Q)
|
100% |
12860
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7064
114.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6882
111.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19376
314.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15915
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15991
18.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
62358
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
5689
451.3 IPS |
|
|
Object Detection (HP)
|
100% |
5710
453.0 IPS |
|
|
Object Detection (Q)
|
88% |
14258
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
14042
166.9 IPS |
|
|
Face Detection (HP)
|
100% |
14531
172.7 IPS |
|
|
Face Detection (Q)
|
100% |
36350
431.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16194
124.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15847
122.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
42945
334.2 IPS |
|
|
Style Transfer (SP)
|
100% |
41271
53.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40822
52.5 IPS |
|
|
Style Transfer (Q)
|
98% |
147206
189.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8227
303.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8215
303.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23348
864.7 IPS |
|
|
Text Classification (SP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (Q)
|
92% |
4190
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5927
102.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5993
103.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6354
109.4 IPS |