| Upload Date | December 04 2025 12:28 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870-A GAMING WIFI |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7204
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
1064
197.9 IPS |
|
|
Image Classification (Q)
|
99% |
13844
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16541
269.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11163
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8954
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
45645
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
5847
463.8 IPS |
|
|
Object Detection (HP)
|
100% |
1240
98.3 IPS |
|
|
Object Detection (Q)
|
86% |
13396
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
12877
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
15046
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16741
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3794
29.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
34054
271.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27992
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19598
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37650
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4861
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3844
141.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7019
259.9 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1443
1.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2488
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4646
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5772
116.0 IPS |