| User | Pex_Water_Pipes |
| Upload Date | October 05 2025 02:07 PM |
| Views | 6 |
| 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 | 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3521
654.8 IPS |
|
|
Image Classification (HP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (Q)
|
96% |
6476
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
3361
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12147
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7283
8.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
24000
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
3639
288.6 IPS |
|
|
Object Detection (HP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (Q)
|
58% |
4856
530.6 IPS |
|
|
Face Detection (SP)
|
100% |
6857
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (Q)
|
96% |
10576
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11715
90.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2513
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16597
132.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23685
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20296
26.1 IPS |
|
|
Style Transfer (Q)
|
87% |
24126
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2580
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2065
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3375
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
631
842.7 IPS |
|
|
Text Classification (Q)
|
97% |
1393
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2602
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3576
69.1 IPS |