| User | Spiike |
| Upload Date | September 07 2025 07:17 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2545
473.4 IPS |
|
|
Image Classification (HP)
|
100% |
2575
478.9 IPS |
|
|
Image Classification (Q)
|
100% |
3806
707.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3213
52.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3153
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4587
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5204
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5215
6.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
10266
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2557
202.9 IPS |
|
|
Object Detection (HP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (Q)
|
87% |
4010
321.6 IPS |
|
|
Face Detection (SP)
|
100% |
8310
98.7 IPS |
|
|
Face Detection (HP)
|
100% |
8281
98.4 IPS |
|
|
Face Detection (Q)
|
97% |
11607
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6677
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6753
52.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
11237
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15250
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14921
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29085
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3112
114.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3094
114.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5799
214.8 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (Q)
|
91% |
738
992.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3823
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3876
66.8 IPS |