| User | arcashton |
| Upload Date | September 24 2025 12:33 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3248
604.0 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (Q)
|
96% |
4637
866.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
5752
93.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5190
6.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4511
5.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
10972
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2904
230.3 IPS |
|
|
Object Detection (HP)
|
100% |
804
63.8 IPS |
|
|
Object Detection (Q)
|
58% |
3272
357.5 IPS |
|
|
Face Detection (SP)
|
100% |
6193
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (Q)
|
96% |
8045
96.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7119
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2204
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11515
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13777
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11013
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
15324
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4034
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1314
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2685
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2972
57.4 IPS |