| Upload Date | April 21 2025 10:14 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670E-PRO WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4979
926.0 IPS |
|
|
Image Classification (HP)
|
100% |
947
176.2 IPS |
|
|
Image Classification (Q)
|
99% |
12903
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3187
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3463
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10466
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8933
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
49592
58.1 IPS |
|
|
Object Detection (SP)
|
100% |
5707
452.7 IPS |
|
|
Object Detection (HP)
|
100% |
1220
96.8 IPS |
|
|
Object Detection (Q)
|
86% |
9129
733.7 IPS |
|
|
Face Detection (SP)
|
100% |
16960
201.5 IPS |
|
|
Face Detection (HP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
14267
170.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13827
106.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3972
30.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
34808
277.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26015
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20261
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
45231
58.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3800
140.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6806
252.0 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1245
1.66 KIPS |
|
|
Text Classification (Q)
|
97% |
638
855.0 IPS |
|
|
Machine Translation (SP)
|
100% |
5253
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5471
109.9 IPS |