| User | masterclimby |
| Upload Date | September 20 2025 03:42 AM |
| Views | 1 |
| 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-F GAMING |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2691
500.5 IPS |
|
|
Image Classification (HP)
|
100% |
645
119.9 IPS |
|
|
Image Classification (Q)
|
96% |
4179
780.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
4823
78.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4913
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4008
4.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
9412
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
801
63.5 IPS |
|
|
Object Detection (Q)
|
58% |
2960
323.4 IPS |
|
|
Face Detection (SP)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (Q)
|
96% |
7392
88.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6350
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2120
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9002
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11791
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9829
12.6 IPS |
|
|
Style Transfer (Q)
|
87% |
11977
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2304
85.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1935
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3571
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
1783
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1495
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2639
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
68% |
3488
67.4 IPS |