| User | ladapisti |
| Upload Date | October 31 2024 12:58 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING (WI-FI) |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
96% |
3297
615.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2413
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6758
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4909
5.73 IPS |
|
|
Pose Estimation (Q)
|
87% |
17722
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.8 IPS |
|
|
Object Detection (Q)
|
86% |
1660
133.5 IPS |
|
|
Face Detection (SP)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (Q)
|
96% |
3668
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5935
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2078
16.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6104
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15387
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12898
16.6 IPS |
|
|
Style Transfer (Q)
|
87% |
16921
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3099
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
516
688.8 IPS |
|
|
Text Classification (Q)
|
97% |
415
555.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1693
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.74 IPS |
|
|
Machine Translation (Q)
|
60% |
1866
41.6 IPS |