| Upload Date | November 14 2025 03:12 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2861
532.1 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.4 IPS |
|
|
Image Classification (Q)
|
96% |
4468
834.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
5202
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4194
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3769
4.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
9490
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
2054
162.9 IPS |
|
|
Object Detection (HP)
|
100% |
742
58.8 IPS |
|
|
Object Detection (Q)
|
58% |
3060
334.3 IPS |
|
|
Face Detection (SP)
|
100% |
4911
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (Q)
|
96% |
7538
89.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6465
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2035
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9568
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11183
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9401
12.1 IPS |
|
|
Style Transfer (Q)
|
87% |
13619
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2225
82.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3771
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
2005
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1488
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2594
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
68% |
3622
70.0 IPS |