| Upload Date | November 10 2025 01:07 AM |
| Views | 1 |
| 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 B650-E WIFI |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| 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% |
3049
567.0 IPS |
|
|
Image Classification (HP)
|
100% |
661
122.9 IPS |
|
|
Image Classification (Q)
|
99% |
7800
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10496
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5392
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4663
5.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
24500
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (HP)
|
100% |
824
65.4 IPS |
|
|
Object Detection (Q)
|
86% |
8222
660.8 IPS |
|
|
Face Detection (SP)
|
100% |
7687
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
1987
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
10881
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7219
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2460
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19164
152.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13765
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11422
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28534
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2486
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2341
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6275
232.4 IPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1739
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3235
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4378
88.0 IPS |