| User | sdfsdgsgs |
| Upload Date | May 15 2025 02:27 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
9371
1.74 KIPS |
|
|
Image Classification (HP)
|
99% |
14136
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
6018
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18699
303.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28055
454.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12443
202.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
171609
200.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
334709
390.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
123120
144.3 IPS |
|
|
Object Detection (SP)
|
100% |
12575
997.5 IPS |
|
|
Object Detection (HP)
|
100% |
18328
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
7950
639.5 IPS |
|
|
Face Detection (SP)
|
100% |
36909
438.6 IPS |
|
|
Face Detection (HP)
|
100% |
53872
640.1 IPS |
|
|
Face Detection (Q)
|
97% |
22116
263.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
58010
446.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97997
755.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
33392
267.4 IPS |
|
|
Style Transfer (SP)
|
100% |
251341
323.1 IPS |
|
|
Style Transfer (HP)
|
100% |
603060
775.2 IPS |
|
|
Style Transfer (Q)
|
98% |
176063
227.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37695
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54199
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20191
747.7 IPS |
|
|
Text Classification (SP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3661
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1321
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4936
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4889
84.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1483
27.8 IPS |