| User | Gorod |
| Upload Date | January 04 2026 06:54 PM |
| Views | 8 |
| 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 APEX |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7606
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7695
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
18840
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11723
190.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10187
165.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29126
472.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
35250
41.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
35180
41.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
136895
160.3 IPS |
|
|
Object Detection (SP)
|
100% |
9391
744.9 IPS |
|
|
Object Detection (HP)
|
100% |
9030
716.3 IPS |
|
|
Object Detection (Q)
|
88% |
21274
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
23136
274.9 IPS |
|
|
Face Detection (HP)
|
100% |
19637
233.3 IPS |
|
|
Face Detection (Q)
|
100% |
54401
646.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28431
219.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28322
218.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
73645
573.1 IPS |
|
|
Style Transfer (SP)
|
100% |
86906
111.7 IPS |
|
|
Style Transfer (HP)
|
100% |
88503
113.8 IPS |
|
|
Style Transfer (Q)
|
98% |
313288
404.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16401
605.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15965
589.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42098
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
5247
7.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4609
6.15 KIPS |
|
|
Text Classification (Q)
|
92% |
6483
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
9465
163.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9119
157.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9547
164.5 IPS |