| Upload Date | February 21 2026 08:32 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Power Plan | Hj ydeevne |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores |
| 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% |
9151
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
1321
245.6 IPS |
|
|
Image Classification (Q)
|
99% |
15538
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2768
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18592
302.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18497
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14332
16.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
59955
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
8939
709.0 IPS |
|
|
Object Detection (HP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (Q)
|
86% |
16170
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
22948
272.7 IPS |
|
|
Face Detection (HP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (Q)
|
97% |
16876
201.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24100
185.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5126
39.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
41003
327.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42137
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30218
38.8 IPS |
|
|
Style Transfer (Q)
|
98% |
50937
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6698
247.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5618
207.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7176
265.7 IPS |
|
|
Text Classification (SP)
|
100% |
3722
4.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2661
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
6364
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (Q)
|
65% |
6448
129.6 IPS |