| Upload Date | September 21 2025 04:14 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9701
1.80 KIPS |
|
|
Image Classification (HP)
|
99% |
13932
2.60 KIPS |
|
|
Image Classification (Q)
|
100% |
6493
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18731
303.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
27572
447.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13077
212.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
172288
201.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
361242
421.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
130849
153.3 IPS |
|
|
Object Detection (SP)
|
100% |
12883
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
18717
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
8597
691.6 IPS |
|
|
Face Detection (SP)
|
100% |
35135
417.5 IPS |
|
|
Face Detection (HP)
|
100% |
51190
608.2 IPS |
|
|
Face Detection (Q)
|
97% |
22616
269.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
65339
503.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111923
862.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
38298
306.7 IPS |
|
|
Style Transfer (SP)
|
100% |
275251
353.8 IPS |
|
|
Style Transfer (HP)
|
100% |
638769
821.1 IPS |
|
|
Style Transfer (Q)
|
98% |
193141
249.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38174
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54013
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21644
801.4 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
3240
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1401
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4984
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4846
83.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1591
29.8 IPS |