| User | pdindetroit |
| Upload Date | May 16 2025 01:08 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2712
504.4 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
96% |
4363
814.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2602
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5041
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4230
4.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
10021
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (Q)
|
58% |
3098
338.5 IPS |
|
|
Face Detection (SP)
|
100% |
5844
69.4 IPS |
|
|
Face Detection (HP)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (Q)
|
96% |
7746
92.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7006
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2236
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9670
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12779
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10537
13.5 IPS |
|
|
Style Transfer (Q)
|
87% |
15119
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2448
90.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3029
112.2 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2632
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
68% |
3650
70.5 IPS |