| User | thecrownguy |
| Upload Date | March 19 2025 12:19 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3232
601.0 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.2 IPS |
|
|
Image Classification (Q)
|
96% |
5717
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2659
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10104
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6666
7.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
22055
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
3404
270.0 IPS |
|
|
Object Detection (HP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (Q)
|
58% |
4127
450.9 IPS |
|
|
Face Detection (SP)
|
100% |
7153
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (Q)
|
96% |
9491
113.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10836
83.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2425
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15666
125.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23467
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18749
24.1 IPS |
|
|
Style Transfer (Q)
|
87% |
22713
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2410
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3404
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
659
879.0 IPS |
|
|
Text Classification (Q)
|
97% |
423
566.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2525
48.8 IPS |