User | Ramonndafonseca |
Upload Date | October 27 2024 03:09 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i7-9700KF |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. Z390 M GAMING |
Motherboard | Gigabyte Technology Co., Ltd. Z390 M GAMING-CF |
Power Plan | Equilibrado |
CPU Information | |
---|---|
Name | Intel Core i7-9700KF |
Topology | 1 Processor, 8 Cores |
Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
Base Frequency | 3.60 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1704
316.9 IPS |
|
Image Classification (HP)
|
100% |
390
72.4 IPS |
|
Image Classification (Q)
|
96% |
2351
439.1 IPS |
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
Image Segmentation (Q)
|
97% |
1893
30.8 IPS |
|
Pose Estimation (SP)
|
100% |
6054
7.06 IPS |
|
Pose Estimation (HP)
|
100% |
4900
5.72 IPS |
|
Pose Estimation (Q)
|
87% |
11123
13.1 IPS |
|
Object Detection (SP)
|
100% |
1915
151.9 IPS |
|
Object Detection (HP)
|
100% |
506
40.1 IPS |
|
Object Detection (Q)
|
86% |
1667
134.0 IPS |
|
Face Detection (SP)
|
100% |
2171
25.8 IPS |
|
Face Detection (HP)
|
100% |
853
10.1 IPS |
|
Face Detection (Q)
|
96% |
3413
40.7 IPS |
|
Depth Estimation (SP)
|
100% |
6356
49.0 IPS |
|
Depth Estimation (HP)
|
99% |
1605
12.4 IPS |
|
Depth Estimation (Q)
|
77% |
5138
41.1 IPS |
|
Style Transfer (SP)
|
100% |
14693
18.9 IPS |
|
Style Transfer (HP)
|
100% |
11558
14.9 IPS |
|
Style Transfer (Q)
|
87% |
14530
18.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
2372
87.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
1924
71.1 IPS |
|
Image Super-Resolution (Q)
|
97% |
2707
100.3 IPS |
|
Text Classification (SP)
|
100% |
1637
2.19 KIPS |
|
Text Classification (HP)
|
100% |
627
837.2 IPS |
|
Text Classification (Q)
|
97% |
429
574.6 IPS |
|
Machine Translation (SP)
|
100% |
1633
28.1 IPS |
|
Machine Translation (HP)
|
100% |
518
8.92 IPS |
|
Machine Translation (Q)
|
60% |
1466
32.7 IPS |