| Upload Date | October 24 2025 03:54 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4673
869.0 IPS |
|
|
Image Classification (HP)
|
100% |
858
159.5 IPS |
|
|
Image Classification (Q)
|
99% |
11966
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16353
265.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15467
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11752
13.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
61956
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
4717
374.2 IPS |
|
|
Object Detection (HP)
|
100% |
1120
88.8 IPS |
|
|
Object Detection (Q)
|
86% |
14090
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
9255
110.0 IPS |
|
|
Face Detection (HP)
|
100% |
2283
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
14067
167.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13571
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3608
27.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
27118
216.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30253
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26571
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
44029
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3324
122.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3555
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1793
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4315
86.7 IPS |