Upload Date | September 09 2024 01:45 AM |
Views | 12 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4090 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
Power Plan | Hchstleistung |
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 | 48.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
14982
2.79 KIPS |
|
Image Classification (HP)
|
99% |
19789
3.69 KIPS |
|
Image Classification (Q)
|
100% |
12307
2.29 KIPS |
|
Image Segmentation (SP)
|
100% |
24053
389.9 IPS |
|
Image Segmentation (HP)
|
100% |
29615
480.1 IPS |
|
Image Segmentation (Q)
|
98% |
23052
374.8 IPS |
|
Pose Estimation (SP)
|
100% |
349713
408.1 IPS |
|
Pose Estimation (HP)
|
100% |
575154
671.1 IPS |
|
Pose Estimation (Q)
|
97% |
301326
352.9 IPS |
|
Object Detection (SP)
|
100% |
20584
1.63 KIPS |
|
Object Detection (HP)
|
100% |
27057
2.15 KIPS |
|
Object Detection (Q)
|
89% |
16429
1.32 KIPS |
|
Face Detection (SP)
|
100% |
55015
653.7 IPS |
|
Face Detection (HP)
|
100% |
67125
797.6 IPS |
|
Face Detection (Q)
|
97% |
45775
545.8 IPS |
|
Depth Estimation (SP)
|
100% |
102840
792.3 IPS |
|
Depth Estimation (HP)
|
99% |
174254
1.34 KIPS |
|
Depth Estimation (Q)
|
75% |
73885
595.9 IPS |
|
Style Transfer (SP)
|
100% |
632058
812.5 IPS |
|
Style Transfer (HP)
|
100% |
1214973
1.56 KIPS |
|
Style Transfer (Q)
|
98% |
533749
688.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
69247
2.56 KIPS |
|
Image Super-Resolution (HP)
|
100% |
89089
3.29 KIPS |
|
Image Super-Resolution (Q)
|
99% |
49076
1.82 KIPS |
|
Text Classification (SP)
|
100% |
4226
5.64 KIPS |
|
Text Classification (HP)
|
99% |
5179
6.91 KIPS |
|
Text Classification (Q)
|
97% |
2438
3.27 KIPS |
|
Machine Translation (SP)
|
100% |
5723
98.6 IPS |
|
Machine Translation (HP)
|
100% |
5621
96.8 IPS |
|
Machine Translation (Q)
|
60% |
2359
52.6 IPS |