User | bilguun |
Upload Date | December 04 2024 05:50 AM |
Views | 9 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce GTX 1050 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASRock Z790 PG Lightning |
Motherboard | ASRock Z790 PG Lightning |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-13700F |
Topology | 1 Processor, 16 Cores, 24 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 2.10 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
778
144.8 IPS |
|
Image Classification (HP)
|
100% |
1415
263.2 IPS |
|
Image Classification (Q)
|
99% |
711
132.7 IPS |
|
Image Segmentation (SP)
|
100% |
2048
33.2 IPS |
|
Image Segmentation (HP)
|
100% |
1818
29.5 IPS |
|
Image Segmentation (Q)
|
98% |
1671
27.2 IPS |
|
Pose Estimation (SP)
|
100% |
19503
22.8 IPS |
|
Pose Estimation (HP)
|
100% |
10617
12.4 IPS |
|
Pose Estimation (Q)
|
96% |
16339
19.1 IPS |
|
Object Detection (SP)
|
100% |
1072
85.0 IPS |
|
Object Detection (HP)
|
100% |
1718
136.3 IPS |
|
Object Detection (Q)
|
83% |
979
79.1 IPS |
|
Face Detection (SP)
|
100% |
2084
24.8 IPS |
|
Face Detection (HP)
|
100% |
3053
36.3 IPS |
|
Face Detection (Q)
|
97% |
1881
22.4 IPS |
|
Depth Estimation (SP)
|
100% |
7196
55.4 IPS |
|
Depth Estimation (HP)
|
99% |
6556
50.7 IPS |
|
Depth Estimation (Q)
|
78% |
5850
46.7 IPS |
|
Style Transfer (SP)
|
100% |
32798
42.2 IPS |
|
Style Transfer (HP)
|
100% |
19633
25.2 IPS |
|
Style Transfer (Q)
|
98% |
26435
34.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
6707
247.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
5036
186.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
4436
164.2 IPS |
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
Text Classification (HP)
|
100% |
1377
1.84 KIPS |
|
Text Classification (Q)
|
97% |
733
982.4 IPS |
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
Machine Translation (HP)
|
96% |
1408
24.3 IPS |
|
Machine Translation (Q)
|
70% |
766
14.4 IPS |