| User | Munshat9 |
| Upload Date | December 10 2025 04:32 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500X3D 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MicroElectronics G527 |
| Motherboard | Micro-Star International Co., Ltd. PRO B850M-VC WIFI6E (MS-7E71) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500X3D 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1840
342.3 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.8 IPS |
|
|
Image Classification (Q)
|
99% |
5907
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7051
114.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3594
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3213
3.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
16270
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1903
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
86% |
6115
491.4 IPS |
|
|
Face Detection (SP)
|
100% |
5600
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
1595
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
8850
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4876
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1857
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12912
103.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9299
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7783
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23265
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1751
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4881
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1519
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2587
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3981
80.0 IPS |