| User | NicoFR |
| Upload Date | December 28 2025 05:27 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS |
| Power Plan | Performances optimales |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2738
509.2 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.8 IPS |
|
|
Image Classification (Q)
|
96% |
4098
765.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
4602
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4564
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3878
4.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
9073
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
2527
200.5 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
58% |
2956
323.0 IPS |
|
|
Face Detection (SP)
|
100% |
4453
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (Q)
|
96% |
7134
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6449
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2010
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8704
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11797
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9629
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
12428
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3609
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1384
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
68% |
3444
66.5 IPS |