| User | StingerYar |
| Upload Date | July 09 2025 02:43 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6353
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (Q)
|
99% |
14253
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3151
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5054
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17271
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12988
15.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
65014
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
6536
518.4 IPS |
|
|
Object Detection (HP)
|
100% |
1050
83.3 IPS |
|
|
Object Detection (Q)
|
86% |
15888
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
12481
148.3 IPS |
|
|
Face Detection (HP)
|
100% |
2470
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
16536
197.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19736
152.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3596
27.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
30896
246.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37168
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30477
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
57306
73.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4946
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3909
144.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5652
209.3 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2218
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5791
116.4 IPS |