Upload Date | April 08 2025 09:32 AM |
Views | 12 |
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. ProArt X670E-CREATOR WIFI |
Power Plan | 3XS-Overclock |
CPU Information | |
---|---|
Name | AMD Ryzen 9 9900X 12-Core Processor |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.40 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
17538
3.26 KIPS |
|
Image Classification (HP)
|
100% |
23011
4.28 KIPS |
|
Image Classification (Q)
|
100% |
15147
2.82 KIPS |
|
Image Segmentation (SP)
|
100% |
38386
622.3 IPS |
|
Image Segmentation (HP)
|
100% |
50024
810.9 IPS |
|
Image Segmentation (Q)
|
98% |
35592
578.7 IPS |
|
Pose Estimation (SP)
|
100% |
406722
474.6 IPS |
|
Pose Estimation (HP)
|
100% |
964006
1.12 KIPS |
|
Pose Estimation (Q)
|
96% |
318497
373.1 IPS |
|
Object Detection (SP)
|
100% |
26567
2.11 KIPS |
|
Object Detection (HP)
|
100% |
35697
2.83 KIPS |
|
Object Detection (Q)
|
85% |
21716
1.75 KIPS |
|
Face Detection (SP)
|
100% |
77319
918.7 IPS |
|
Face Detection (HP)
|
100% |
106514
1.27 KIPS |
|
Face Detection (Q)
|
97% |
61860
737.7 IPS |
|
Depth Estimation (SP)
|
100% |
112286
865.1 IPS |
|
Depth Estimation (HP)
|
99% |
198220
1.53 KIPS |
|
Depth Estimation (Q)
|
77% |
79404
636.0 IPS |
|
Style Transfer (SP)
|
100% |
632819
813.5 IPS |
|
Style Transfer (HP)
|
100% |
1796367
2.31 KIPS |
|
Style Transfer (Q)
|
98% |
533133
687.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
77615
2.87 KIPS |
|
Image Super-Resolution (HP)
|
100% |
103546
3.82 KIPS |
|
Image Super-Resolution (Q)
|
99% |
55258
2.05 KIPS |
|
Text Classification (SP)
|
100% |
4199
5.60 KIPS |
|
Text Classification (HP)
|
100% |
5046
6.73 KIPS |
|
Text Classification (Q)
|
97% |
2494
3.34 KIPS |
|
Machine Translation (SP)
|
100% |
7633
131.5 IPS |
|
Machine Translation (HP)
|
100% |
7631
131.4 IPS |
|
Machine Translation (Q)
|
70% |
3264
61.2 IPS |