| User | Tycho |
| Upload Date | October 17 2025 01:07 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Balanced |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4692
872.5 IPS |
|
|
Image Classification (HP)
|
100% |
828
154.0 IPS |
|
|
Image Classification (Q)
|
99% |
10610
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15350
249.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15450
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11465
13.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
53979
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
4521
358.6 IPS |
|
|
Object Detection (HP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (Q)
|
86% |
12212
981.4 IPS |
|
|
Face Detection (SP)
|
100% |
9298
110.5 IPS |
|
|
Face Detection (HP)
|
100% |
2243
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
13528
161.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12510
96.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3483
26.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
24818
198.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28403
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24383
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28100
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3465
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3028
111.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3520
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
1876
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1620
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3788
76.1 IPS |