| Upload Date | November 18 2025 10:59 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-E |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3316
616.7 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.8 IPS |
|
|
Image Classification (Q)
|
99% |
7507
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8147
132.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5652
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4606
5.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
20830
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
2982
236.5 IPS |
|
|
Object Detection (HP)
|
100% |
883
70.1 IPS |
|
|
Object Detection (Q)
|
86% |
7705
619.2 IPS |
|
|
Face Detection (SP)
|
100% |
5952
70.7 IPS |
|
|
Face Detection (HP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
10530
125.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7656
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2520
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15447
123.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14426
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11026
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22366
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2221
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5546
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1810
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4616
92.7 IPS |