| User | banthafood |
| Upload Date | October 30 2025 11:31 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2750
511.4 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.9 IPS |
|
|
Image Classification (Q)
|
96% |
4138
772.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
4819
78.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5210
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4354
5.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
9754
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (Q)
|
58% |
3011
329.0 IPS |
|
|
Face Detection (SP)
|
100% |
5739
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (Q)
|
96% |
7289
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6859
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2185
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9466
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12784
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10562
13.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14718
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2461
90.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3677
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
1847
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1381
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2668
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.0 IPS |
|
|
Machine Translation (Q)
|
68% |
3467
67.0 IPS |