| Upload Date | October 19 2025 05:49 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING A520M-PLUS II |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1728
321.3 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.2 IPS |
|
|
Image Classification (Q)
|
96% |
4617
862.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
3394
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3230
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2859
3.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
9415
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
58% |
2494
272.5 IPS |
|
|
Face Detection (SP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (Q)
|
96% |
5919
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4513
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1642
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8291
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8245
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7116
9.15 IPS |
|
|
Style Transfer (Q)
|
87% |
10212
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3596
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
1345
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
416
557.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2126
41.1 IPS |