| User | eunu |
| Upload Date | August 03 2025 01:00 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS WIFI II |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3082
573.1 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.8 IPS |
|
|
Image Classification (Q)
|
96% |
4881
911.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
6043
98.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5211
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4257
4.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
10930
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.6 IPS |
|
|
Object Detection (Q)
|
58% |
3160
345.3 IPS |
|
|
Face Detection (SP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (Q)
|
96% |
7376
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6050
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1923
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9723
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13243
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10526
13.5 IPS |
|
|
Style Transfer (Q)
|
87% |
16038
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2751
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4409
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1467
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2575
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
68% |
3285
63.5 IPS |