| Upload Date | January 27 2025 03:04 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Performances leves |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17158
3.19 KIPS |
|
|
Image Classification (HP)
|
100% |
21608
4.02 KIPS |
|
|
Image Classification (Q)
|
100% |
14825
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25495
413.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
30361
492.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24732
402.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
393833
459.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
878590
1.03 KIPS |
|
|
Pose Estimation (Q)
|
96% |
307160
359.8 IPS |
|
|
Object Detection (SP)
|
100% |
23485
1.86 KIPS |
|
|
Object Detection (HP)
|
100% |
30422
2.41 KIPS |
|
|
Object Detection (Q)
|
85% |
19649
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
64085
761.5 IPS |
|
|
Face Detection (HP)
|
100% |
82636
981.9 IPS |
|
|
Face Detection (Q)
|
97% |
52819
629.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
110498
851.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
191786
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78851
631.6 IPS |
|
|
Style Transfer (SP)
|
100% |
602350
774.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1655280
2.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
513965
662.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75587
2.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98675
3.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53534
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
4234
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5155
6.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2502
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5506
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5505
94.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2779
52.1 IPS |