| Upload Date | February 09 2026 07:40 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-E GAMING WIFI |
| Power Plan | Performances optimales |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13651
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
19550
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
11226
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26443
428.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
37625
609.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24279
394.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
235341
274.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
715024
834.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
200533
234.9 IPS |
|
|
Object Detection (SP)
|
100% |
18452
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
28443
2.26 KIPS |
|
|
Object Detection (Q)
|
86% |
15885
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
56569
672.2 IPS |
|
|
Face Detection (HP)
|
100% |
82050
974.9 IPS |
|
|
Face Detection (Q)
|
97% |
46613
555.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
88720
683.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
164295
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66106
527.9 IPS |
|
|
Style Transfer (SP)
|
100% |
345029
443.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1086967
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
297900
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54023
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83089
3.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39814
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3664
4.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4558
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2147
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
6666
114.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6656
114.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3008
56.4 IPS |