| User | turpotle | 
| Upload Date | July 31 2025 09:15 PM | 
| Views | 10 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 9 9950X | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X870-PLUS WIFI | 
| Power Plan | High performance | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 4.30 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
5736
 1.07 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
856
 159.2 IPS  | 
|
| 
Image Classification (Q)
 | 
99% | 
12774
 2.38 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
2308
 37.4 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
1252
 20.3 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
20309
 330.2 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
23675
 27.6 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
16308
 19.0 IPS  | 
|
| 
Pose Estimation (Q)
 | 
94% | 
80505
 94.4 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
6023
 477.8 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
1106
 87.8 IPS  | 
|
| 
Object Detection (Q)
 | 
86% | 
14521
 1.17 KIPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
9540
 113.4 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
2092
 24.9 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
14972
 178.5 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
17590
 135.5 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
4010
 30.9 IPS  | 
|
| 
Depth Estimation (Q)
 | 
78% | 
30563
 243.9 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
44369
 57.0 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
36908
 47.4 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
51211
 66.0 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
4350
 160.6 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
3902
 144.1 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
3148
 116.6 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
2196
 2.93 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
1023
 1.37 KIPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
1945
 2.61 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
3732
 64.3 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
1295
 22.3 IPS  | 
|
| 
Machine Translation (Q)
 | 
65% | 
4528
 91.0 IPS  |