| Upload Date | November 11 2025 08:50 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Hchstleistung |
| 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% |
6259
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
1088
202.3 IPS |
|
|
Image Classification (Q)
|
99% |
12352
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4858
79.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12433
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9645
11.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
39212
46.0 IPS |
|
|
Object Detection (SP)
|
100% |
5701
452.2 IPS |
|
|
Object Detection (HP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (Q)
|
86% |
12475
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
10229
121.5 IPS |
|
|
Face Detection (HP)
|
100% |
2906
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
13894
165.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14638
112.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4189
32.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
26965
215.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28054
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20251
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36157
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5165
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4256
157.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6663
246.7 IPS |
|
|
Text Classification (SP)
|
100% |
3158
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2706
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4167
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5764
115.8 IPS |