User | TI-82 |
Upload Date | November 20 2024 07:56 PM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 9 3900X |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Home (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO |
Power Plan | AMD Ryzen Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 3900X |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
Base Frequency | 3.80 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1182
219.8 IPS |
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
Image Classification (Q)
|
96% |
2113
394.6 IPS |
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
Image Segmentation (HP)
|
100% |
523
8.48 IPS |
|
Image Segmentation (Q)
|
97% |
1706
27.7 IPS |
|
Pose Estimation (SP)
|
100% |
6431
7.50 IPS |
|
Pose Estimation (HP)
|
100% |
4814
5.62 IPS |
|
Pose Estimation (Q)
|
87% |
8155
9.63 IPS |
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
Object Detection (Q)
|
86% |
1298
104.3 IPS |
|
Face Detection (SP)
|
100% |
2530
30.1 IPS |
|
Face Detection (HP)
|
100% |
1166
13.9 IPS |
|
Face Detection (Q)
|
96% |
3268
39.0 IPS |
|
Depth Estimation (SP)
|
100% |
5591
43.1 IPS |
|
Depth Estimation (HP)
|
99% |
1765
13.6 IPS |
|
Depth Estimation (Q)
|
77% |
5232
41.9 IPS |
|
Style Transfer (SP)
|
100% |
13858
17.8 IPS |
|
Style Transfer (HP)
|
100% |
12233
15.7 IPS |
|
Style Transfer (Q)
|
87% |
14081
18.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
1735
64.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
1458
53.8 IPS |
|
Image Super-Resolution (Q)
|
97% |
1862
69.0 IPS |
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
Text Classification (HP)
|
100% |
435
581.0 IPS |
|
Text Classification (Q)
|
97% |
359
481.0 IPS |
|
Machine Translation (SP)
|
100% |
1607
27.7 IPS |
|
Machine Translation (HP)
|
100% |
483
8.31 IPS |
|
Machine Translation (Q)
|
60% |
1609
35.9 IPS |