| User | drive5600x |
| Upload Date | July 21 2025 12:26 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5316
988.6 IPS |
|
|
Image Classification (HP)
|
100% |
1036
192.6 IPS |
|
|
Image Classification (Q)
|
99% |
13924
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15926
259.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10304
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9140
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
45618
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6590
522.8 IPS |
|
|
Object Detection (HP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (Q)
|
86% |
14745
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
17963
213.4 IPS |
|
|
Face Detection (HP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (Q)
|
97% |
15086
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15280
117.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3955
30.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
32003
255.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22614
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18975
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
41599
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4528
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3985
147.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7024
260.1 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2438
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5230
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5730
115.1 IPS |