| User | otze54 |
| Upload Date | August 27 2025 10:07 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B850M Steel Legend WiFi |
| Motherboard | ASRock B850M Steel Legend WiFi |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6852
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
1193
221.8 IPS |
|
|
Image Classification (Q)
|
99% |
13106
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14002
227.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13024
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10211
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
41839
49.1 IPS |
|
|
Object Detection (SP)
|
100% |
6276
497.8 IPS |
|
|
Object Detection (HP)
|
100% |
1546
122.7 IPS |
|
|
Object Detection (Q)
|
86% |
13408
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
10224
121.5 IPS |
|
|
Face Detection (HP)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
13292
158.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11404
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3571
27.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
24455
195.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29609
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22115
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34635
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4571
168.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5329
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2605
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5150
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (Q)
|
65% |
7057
141.8 IPS |