| User | Pex_Water_Pipes |
| Upload Date | October 18 2025 01:45 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3130
582.1 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.2 IPS |
|
|
Image Classification (Q)
|
96% |
5621
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2830
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7725
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6133
7.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
15653
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (HP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
58% |
4495
491.1 IPS |
|
|
Face Detection (SP)
|
100% |
7234
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (Q)
|
96% |
9599
114.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9547
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2518
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13363
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18884
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15530
20.0 IPS |
|
|
Style Transfer (Q)
|
87% |
22026
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2905
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.6 IPS |
|
|
Text Classification (Q)
|
97% |
1381
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3286
63.5 IPS |