| User | teknoseyir |
| Upload Date | April 19 2026 03:03 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Yksek performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9012
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
9029
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
21058
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9988
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9862
159.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26097
423.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17696
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17407
20.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
69056
80.8 IPS |
|
|
Object Detection (SP)
|
100% |
9366
742.9 IPS |
|
|
Object Detection (HP)
|
100% |
9340
740.9 IPS |
|
|
Object Detection (Q)
|
88% |
22902
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
29102
345.8 IPS |
|
|
Face Detection (HP)
|
100% |
28332
336.6 IPS |
|
|
Face Detection (Q)
|
100% |
57653
685.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23392
180.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24602
189.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
65128
506.8 IPS |
|
|
Style Transfer (SP)
|
100% |
49925
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49367
63.5 IPS |
|
|
Style Transfer (Q)
|
98% |
175136
225.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11021
407.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11323
418.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32599
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
6466
8.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6584
8.79 KIPS |
|
|
Text Classification (Q)
|
92% |
8851
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
11734
202.1 IPS |
|
|
Machine Translation (HP)
|
100% |
12014
206.9 IPS |
|
|
Machine Translation (Q)
|
100% |
13640
234.9 IPS |