| User | Xairo |
| Upload Date | September 05 2025 09:53 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING II |
| Power Plan | Energiesparmodus |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
96% |
1769
330.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
1699
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5337
6.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
9044
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
2854
226.4 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (Q)
|
58% |
1427
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
3258
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4373
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1750
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5231
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10891
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8507
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11279
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1324
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1890
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
552
737.0 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.6 IPS |
|
|
Text Classification (Q)
|
97% |
187
250.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
1413
27.3 IPS |