| User | JootecFromMars |
| Upload Date | November 03 2024 06:14 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Alienware Alienware X51 R2 |
| Motherboard | Alienware 0PGRP5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4440 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3433
638.5 IPS |
|
|
Image Classification (HP)
|
100% |
3567
663.3 IPS |
|
|
Image Classification (Q)
|
100% |
2756
512.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4962
80.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4790
77.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4189
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
41133
48.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26927
31.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
34638
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
4254
337.4 IPS |
|
|
Object Detection (HP)
|
100% |
4288
340.1 IPS |
|
|
Object Detection (Q)
|
89% |
3138
251.3 IPS |
|
|
Face Detection (SP)
|
100% |
7784
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
8171
97.1 IPS |
|
|
Face Detection (Q)
|
97% |
6176
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21208
163.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18093
139.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
15081
121.3 IPS |
|
|
Style Transfer (SP)
|
100% |
75709
97.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53096
68.3 IPS |
|
|
Style Transfer (Q)
|
98% |
59478
76.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12859
474.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11446
422.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8321
308.1 IPS |
|
|
Text Classification (SP)
|
100% |
1680
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (Q)
|
97% |
978
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2099
36.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2114
36.5 IPS |
|
|
Machine Translation (Q)
|
60% |
908
20.3 IPS |