| Upload Date | October 28 2025 11:10 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 X670E-PLUS WIFI |
| Power Plan | High performance |
| 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% |
4548
845.8 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.1 IPS |
|
|
Image Classification (Q)
|
99% |
9107
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1064
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11142
181.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7262
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5888
6.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
24469
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
4085
324.0 IPS |
|
|
Object Detection (HP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (Q)
|
86% |
9441
758.8 IPS |
|
|
Face Detection (SP)
|
100% |
10953
130.1 IPS |
|
|
Face Detection (HP)
|
100% |
2252
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
11658
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10486
80.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3015
23.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
22501
179.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18566
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15380
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33040
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3229
119.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2760
101.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7159
265.1 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1946
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1251
21.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4821
96.9 IPS |