| User | Gorod |
| Upload Date | January 04 2026 07:03 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 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% |
7762
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7867
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
19139
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10931
177.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10957
177.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29672
481.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
36018
42.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
36512
42.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
140992
165.1 IPS |
|
|
Object Detection (SP)
|
100% |
9466
750.8 IPS |
|
|
Object Detection (HP)
|
100% |
9837
780.2 IPS |
|
|
Object Detection (Q)
|
88% |
23048
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
19962
237.2 IPS |
|
|
Face Detection (HP)
|
100% |
20173
239.7 IPS |
|
|
Face Detection (Q)
|
100% |
55310
657.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
30139
232.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27953
215.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
72575
564.8 IPS |
|
|
Style Transfer (SP)
|
100% |
90151
115.9 IPS |
|
|
Style Transfer (HP)
|
100% |
89936
115.6 IPS |
|
|
Style Transfer (Q)
|
98% |
320833
413.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16735
617.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16236
599.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42959
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
5332
7.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5038
6.72 KIPS |
|
|
Text Classification (Q)
|
92% |
6127
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
9431
162.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9452
162.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10118
174.3 IPS |