| Upload Date | February 25 2025 09:46 PM |
| Views | 24 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16932
3.15 KIPS |
|
|
Image Classification (HP)
|
100% |
21744
4.04 KIPS |
|
|
Image Classification (Q)
|
100% |
14499
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27567
446.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
33570
544.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
26573
432.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
394464
460.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
905788
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
305816
358.2 IPS |
|
|
Object Detection (SP)
|
100% |
23620
1.87 KIPS |
|
|
Object Detection (HP)
|
100% |
30631
2.43 KIPS |
|
|
Object Detection (Q)
|
85% |
19665
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
66187
786.4 IPS |
|
|
Face Detection (HP)
|
100% |
86318
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
54044
644.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
109375
842.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
190680
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78743
630.7 IPS |
|
|
Style Transfer (SP)
|
100% |
607174
780.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1651485
2.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
514210
663.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73918
2.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
96194
3.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53212
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5047
6.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2483
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5993
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5969
102.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2902
54.4 IPS |