| User | aaron958 |
| Upload Date | November 06 2025 04:45 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870-A GAMING WIFI |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6902
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
1025
190.6 IPS |
|
|
Image Classification (Q)
|
99% |
13776
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15992
260.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11035
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7511
8.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
45900
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
5638
447.2 IPS |
|
|
Object Detection (HP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (Q)
|
86% |
13670
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
9372
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
14544
173.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14358
110.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3850
29.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
26721
213.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25569
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19568
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36009
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7183
266.0 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1504
2.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2569
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4691
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5549
111.5 IPS |