| User | Gorod |
| Upload Date | January 04 2026 07:08 PM |
| Views | 3 |
| 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% |
8152
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
7538
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
19414
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10595
171.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10586
171.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29901
484.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
35834
41.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36315
42.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
141313
165.4 IPS |
|
|
Object Detection (SP)
|
100% |
9683
768.0 IPS |
|
|
Object Detection (HP)
|
100% |
9144
725.3 IPS |
|
|
Object Detection (Q)
|
88% |
23241
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
20190
239.9 IPS |
|
|
Face Detection (HP)
|
100% |
21519
255.7 IPS |
|
|
Face Detection (Q)
|
100% |
56251
668.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
30066
231.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29354
226.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
79004
614.8 IPS |
|
|
Style Transfer (SP)
|
100% |
89043
114.5 IPS |
|
|
Style Transfer (HP)
|
100% |
89729
115.3 IPS |
|
|
Style Transfer (Q)
|
98% |
321141
414.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16573
612.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16814
620.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
43307
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
4856
6.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4855
6.48 KIPS |
|
|
Text Classification (Q)
|
92% |
5995
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
9537
164.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9125
157.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9869
170.0 IPS |