| User | domdtxdissar |
| Upload Date | February 13 2025 03:59 PM |
| Views | 25 |
| 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% |
19951
3.71 KIPS |
|
|
Image Classification (HP)
|
100% |
24400
4.54 KIPS |
|
|
Image Classification (Q)
|
100% |
16173
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34242
555.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
42669
691.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
32831
533.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
434007
506.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
1002023
1.17 KIPS |
|
|
Pose Estimation (Q)
|
94% |
338944
397.5 IPS |
|
|
Object Detection (SP)
|
100% |
26301
2.09 KIPS |
|
|
Object Detection (HP)
|
100% |
33952
2.69 KIPS |
|
|
Object Detection (Q)
|
89% |
21115
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
72943
866.7 IPS |
|
|
Face Detection (HP)
|
100% |
96021
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
58195
693.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
118881
915.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
204070
1.57 KIPS |
|
|
Depth Estimation (Q)
|
76% |
83997
677.0 IPS |
|
|
Style Transfer (SP)
|
100% |
679483
873.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1909423
2.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
575032
741.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
84797
3.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
110434
4.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59255
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4647
6.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5970
7.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2792
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
7027
121.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7185
123.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2825
63.0 IPS |