| Upload Date | July 09 2025 08:30 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5337
992.5 IPS |
|
|
Image Classification (HP)
|
100% |
979
182.1 IPS |
|
|
Image Classification (Q)
|
99% |
12471
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14005
227.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9537
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8008
9.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
38467
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
4861
385.6 IPS |
|
|
Object Detection (HP)
|
100% |
1140
90.4 IPS |
|
|
Object Detection (Q)
|
86% |
12074
970.3 IPS |
|
|
Face Detection (SP)
|
100% |
12569
149.3 IPS |
|
|
Face Detection (HP)
|
100% |
2517
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
13575
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12086
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3305
25.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
28969
231.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22963
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17232
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35687
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6993
259.0 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1300
1.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2214
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4601
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5272
105.9 IPS |