User | astralvoid |
Upload Date | October 06 2024 02:53 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 9 5950X |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
Base Frequency | 3.40 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1083
201.4 IPS |
|
Image Classification (HP)
|
100% |
386
71.7 IPS |
|
Image Classification (Q)
|
96% |
2888
539.4 IPS |
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
Image Segmentation (Q)
|
97% |
2448
39.8 IPS |
|
Pose Estimation (SP)
|
100% |
7929
9.25 IPS |
|
Pose Estimation (HP)
|
100% |
5042
5.88 IPS |
|
Pose Estimation (Q)
|
87% |
18329
21.6 IPS |
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
Object Detection (Q)
|
86% |
1464
117.7 IPS |
|
Face Detection (SP)
|
100% |
2059
24.5 IPS |
|
Face Detection (HP)
|
100% |
1122
13.3 IPS |
|
Face Detection (Q)
|
96% |
3339
39.8 IPS |
|
Depth Estimation (SP)
|
100% |
5997
46.2 IPS |
|
Depth Estimation (HP)
|
99% |
1958
15.1 IPS |
|
Depth Estimation (Q)
|
77% |
5579
44.7 IPS |
|
Style Transfer (SP)
|
100% |
16260
20.9 IPS |
|
Style Transfer (HP)
|
100% |
14371
18.5 IPS |
|
Style Transfer (Q)
|
87% |
15431
20.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
1864
68.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
Image Super-Resolution (Q)
|
97% |
3087
114.4 IPS |
|
Text Classification (SP)
|
100% |
1124
1.50 KIPS |
|
Text Classification (HP)
|
100% |
482
643.6 IPS |
|
Text Classification (Q)
|
97% |
376
503.4 IPS |
|
Machine Translation (SP)
|
100% |
1668
28.7 IPS |
|
Machine Translation (HP)
|
100% |
519
8.94 IPS |
|
Machine Translation (Q)
|
60% |
1826
40.7 IPS |