| User | angelolins |
| Upload Date | January 14 2025 02:51 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING A520M-PLUS WIFI |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2474
460.1 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.5 IPS |
|
|
Image Classification (Q)
|
96% |
4425
826.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
2417
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4596
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3907
4.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
10266
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.5 IPS |
|
|
Object Detection (HP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
58% |
3177
347.2 IPS |
|
|
Face Detection (SP)
|
100% |
6568
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (Q)
|
96% |
7624
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6647
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1982
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10885
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11983
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9480
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
14488
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2926
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.7 IPS |
|
|
Text Classification (Q)
|
97% |
1332
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2900
56.0 IPS |