Upload Date | August 16 2024 02:50 AM |
Views | 3 |
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 Z790-F GAMING WIFI II |
Power Plan | Ausbalanciert |
CPU Information | |
---|---|
Name | Intel Core i9-14900K |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.20 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
14259
2.65 KIPS |
|
Image Classification (HP)
|
99% |
19442
3.63 KIPS |
|
Image Classification (Q)
|
100% |
11665
2.17 KIPS |
|
Image Segmentation (SP)
|
100% |
22444
363.8 IPS |
|
Image Segmentation (HP)
|
100% |
27892
452.1 IPS |
|
Image Segmentation (Q)
|
98% |
20653
335.8 IPS |
|
Pose Estimation (SP)
|
100% |
301118
351.4 IPS |
|
Pose Estimation (HP)
|
100% |
510818
596.0 IPS |
|
Pose Estimation (Q)
|
97% |
263320
308.3 IPS |
|
Object Detection (SP)
|
100% |
18930
1.50 KIPS |
|
Object Detection (HP)
|
100% |
24983
1.98 KIPS |
|
Object Detection (Q)
|
89% |
15823
1.27 KIPS |
|
Face Detection (SP)
|
100% |
49310
585.9 IPS |
|
Face Detection (HP)
|
100% |
60246
715.8 IPS |
|
Face Detection (Q)
|
97% |
41291
492.3 IPS |
|
Depth Estimation (SP)
|
100% |
91823
707.4 IPS |
|
Depth Estimation (HP)
|
99% |
162746
1.25 KIPS |
|
Depth Estimation (Q)
|
75% |
60554
488.8 IPS |
|
Style Transfer (SP)
|
100% |
568681
731.0 IPS |
|
Style Transfer (HP)
|
100% |
1106746
1.42 KIPS |
|
Style Transfer (Q)
|
98% |
457986
590.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
63007
2.33 KIPS |
|
Image Super-Resolution (HP)
|
100% |
84789
3.13 KIPS |
|
Image Super-Resolution (Q)
|
99% |
45563
1.69 KIPS |
|
Text Classification (SP)
|
100% |
3943
5.26 KIPS |
|
Text Classification (HP)
|
99% |
5127
6.84 KIPS |
|
Text Classification (Q)
|
97% |
2274
3.05 KIPS |
|
Machine Translation (SP)
|
100% |
5162
88.9 IPS |
|
Machine Translation (HP)
|
100% |
5045
86.9 IPS |
|
Machine Translation (Q)
|
60% |
1899
42.3 IPS |