| Upload Date | November 10 2025 12:55 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650M-AYW WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3601
669.7 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.8 IPS |
|
|
Image Classification (Q)
|
99% |
7760
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8538
138.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6332
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5313
6.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
22056
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
3234
256.5 IPS |
|
|
Object Detection (HP)
|
100% |
974
77.3 IPS |
|
|
Object Detection (Q)
|
86% |
7982
641.5 IPS |
|
|
Face Detection (SP)
|
100% |
6010
71.4 IPS |
|
|
Face Detection (HP)
|
100% |
2084
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
9942
118.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8168
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2658
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15771
125.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15744
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12973
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19669
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3000
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5536
205.0 IPS |
|
|
Text Classification (SP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1977
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1210
20.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5175
104.0 IPS |