| User | StingerYar |
| Upload Date | January 19 2025 09:27 PM |
| Views | 11 |
| 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% |
7121
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
1133
210.7 IPS |
|
|
Image Classification (Q)
|
99% |
13854
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5147
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12368
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9792
11.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
45362
53.2 IPS |
|
|
Object Detection (SP)
|
100% |
6661
528.4 IPS |
|
|
Object Detection (HP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (Q)
|
86% |
14203
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
11625
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
13733
163.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15835
122.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4446
34.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
30296
241.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29865
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21670
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
42227
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5600
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7152
264.8 IPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1478
1.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2873
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4536
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5326
107.0 IPS |