| Upload Date | February 21 2026 08:39 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | GameTurbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2138
397.6 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.1 IPS |
|
|
Image Classification (Q)
|
99% |
6765
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7660
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4169
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3509
4.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
17920
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2054
162.9 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
6938
557.6 IPS |
|
|
Face Detection (SP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
10545
125.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5401
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2522
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15388
122.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10487
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10556
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29902
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1984
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5294
196.0 IPS |
|
|
Text Classification (SP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1885
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4725
95.0 IPS |