| Upload Date | November 13 2025 02:09 PM |
| Views | 2 |
| 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 X670E GENE |
| Power Plan | Bitsum Highest 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% |
8258
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
7909
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
19718
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10727
173.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10757
174.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29080
471.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
36050
42.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
35981
42.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
139270
163.0 IPS |
|
|
Object Detection (SP)
|
100% |
9683
768.1 IPS |
|
|
Object Detection (HP)
|
100% |
9413
746.6 IPS |
|
|
Object Detection (Q)
|
88% |
21661
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
20105
238.9 IPS |
|
|
Face Detection (HP)
|
100% |
20316
241.4 IPS |
|
|
Face Detection (Q)
|
100% |
57545
683.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30423
234.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
30256
233.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
72787
566.4 IPS |
|
|
Style Transfer (SP)
|
100% |
89278
114.8 IPS |
|
|
Style Transfer (HP)
|
100% |
89669
115.3 IPS |
|
|
Style Transfer (Q)
|
98% |
312527
403.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16306
602.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15819
584.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41907
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5263
7.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5140
6.86 KIPS |
|
|
Text Classification (Q)
|
92% |
6034
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
9543
164.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9354
161.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9676
166.7 IPS |