| User | Gully23 |
| Upload Date | April 30 2025 01:51 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock A320M-DGS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
1400
260.3 IPS |
|
|
Image Classification (Q)
|
99% |
636
118.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1825
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17611
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9491
11.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14730
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (HP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (Q)
|
83% |
902
72.9 IPS |
|
|
Face Detection (SP)
|
100% |
1985
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
1833
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6883
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6180
47.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5517
44.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30594
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17232
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25071
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6897
254.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4951
182.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4492
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
1317
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (Q)
|
97% |
763
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2507
43.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1002
18.8 IPS |