| User | ultimaterex |
| Upload Date | March 23 2025 12:09 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D52 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570S CARBON MAX WIFI (MS-7D52) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2156
400.9 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.9 IPS |
|
|
Image Classification (Q)
|
96% |
4242
792.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
1837
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4209
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3597
4.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
10030
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.1 IPS |
|
|
Object Detection (Q)
|
58% |
2150
234.9 IPS |
|
|
Face Detection (SP)
|
100% |
5610
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
1398
16.6 IPS |
|
|
Face Detection (Q)
|
96% |
7388
88.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5559
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1876
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9828
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11085
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8974
11.5 IPS |
|
|
Style Transfer (Q)
|
87% |
15736
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2813
104.2 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
633
844.8 IPS |
|
|
Text Classification (Q)
|
97% |
375
502.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2706
52.3 IPS |