| User | domdtxdissar |
| Upload Date | February 13 2025 04:08 PM |
| Views | 36 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Revision - Ultra Performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
20019
3.72 KIPS |
|
|
Image Classification (HP)
|
100% |
24399
4.54 KIPS |
|
|
Image Classification (Q)
|
100% |
16023
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34339
556.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
42828
694.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
32976
536.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
442340
516.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
1028823
1.20 KIPS |
|
|
Pose Estimation (Q)
|
94% |
344405
403.9 IPS |
|
|
Object Detection (SP)
|
100% |
26756
2.12 KIPS |
|
|
Object Detection (HP)
|
100% |
34677
2.75 KIPS |
|
|
Object Detection (Q)
|
89% |
21394
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
73931
878.5 IPS |
|
|
Face Detection (HP)
|
100% |
95954
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
58735
700.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
121121
933.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
206935
1.59 KIPS |
|
|
Depth Estimation (Q)
|
76% |
84805
683.5 IPS |
|
|
Style Transfer (SP)
|
100% |
689939
886.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1920595
2.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
583179
752.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85536
3.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
110410
4.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59811
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4752
6.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5984
7.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2837
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
7033
121.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7186
123.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2832
63.2 IPS |