| User | StingerYar |
| Upload Date | January 19 2025 09:30 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-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 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7374
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
1147
213.3 IPS |
|
|
Image Classification (Q)
|
99% |
13803
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3003
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4860
79.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12351
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10007
11.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
44401
52.1 IPS |
|
|
Object Detection (SP)
|
100% |
6718
532.9 IPS |
|
|
Object Detection (HP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (Q)
|
86% |
14661
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
12450
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
14891
177.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15987
123.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4271
32.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
29534
235.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30134
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22324
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
41889
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5014
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4489
165.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7242
268.2 IPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1493
1.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2870
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4595
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (Q)
|
65% |
6251
125.6 IPS |