| Upload Date | January 17 2026 12:40 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B450M-PRO II |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2501
465.0 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.7 IPS |
|
|
Image Classification (Q)
|
100% |
3785
703.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3058
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4556
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4769
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4697
5.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
9652
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (Q)
|
87% |
3988
319.9 IPS |
|
|
Face Detection (SP)
|
100% |
7563
89.9 IPS |
|
|
Face Detection (HP)
|
100% |
7559
89.8 IPS |
|
|
Face Detection (Q)
|
97% |
11129
132.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6114
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6205
47.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
10930
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13833
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13980
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27924
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3140
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3050
112.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5779
214.1 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (Q)
|
91% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3816
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3808
65.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3731
64.3 IPS |