| User | qcpi069 |
| Upload Date | April 07 2025 10:21 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING A520M-PLUS WIFI |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
96% |
2482
463.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
1721
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4172
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3026
3.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
5466
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
58% |
1762
192.5 IPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (Q)
|
96% |
5562
66.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4889
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1574
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5940
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9469
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7920
10.2 IPS |
|
|
Style Transfer (Q)
|
87% |
10434
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1619
60.0 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
480
640.6 IPS |
|
|
Text Classification (Q)
|
97% |
877
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (Q)
|
68% |
1941
37.5 IPS |