Upload Date | April 20 2025 01:22 PM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 5 4600H |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IHRB_FA506IHRB |
Motherboard | ASUSTeK COMPUTER INC. FA506IHRB |
CPU Information | |
---|---|
Name | AMD Ryzen 5 4600H |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
Base Frequency | 3.00 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
Image Classification (HP)
|
100% |
343
63.8 IPS |
|
Image Classification (Q)
|
96% |
1898
354.4 IPS |
|
Image Segmentation (SP)
|
100% |
413
6.70 IPS |
|
Image Segmentation (HP)
|
100% |
350
5.68 IPS |
|
Image Segmentation (Q)
|
97% |
1440
23.4 IPS |
|
Pose Estimation (SP)
|
100% |
3341
3.90 IPS |
|
Pose Estimation (HP)
|
100% |
2828
3.30 IPS |
|
Pose Estimation (Q)
|
86% |
4583
5.42 IPS |
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
Object Detection (Q)
|
58% |
1410
154.1 IPS |
|
Face Detection (SP)
|
100% |
1865
22.2 IPS |
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
Face Detection (Q)
|
96% |
3910
46.6 IPS |
|
Depth Estimation (SP)
|
100% |
4535
34.9 IPS |
|
Depth Estimation (HP)
|
99% |
1376
10.6 IPS |
|
Depth Estimation (Q)
|
78% |
4563
36.4 IPS |
|
Style Transfer (SP)
|
100% |
7898
10.2 IPS |
|
Style Transfer (HP)
|
100% |
7353
9.45 IPS |
|
Style Transfer (Q)
|
87% |
6727
8.75 IPS |
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
1018
37.6 IPS |
|
Image Super-Resolution (Q)
|
97% |
1403
52.0 IPS |
|
Text Classification (SP)
|
100% |
984
1.31 KIPS |
|
Text Classification (HP)
|
100% |
470
627.5 IPS |
|
Text Classification (Q)
|
97% |
861
1.15 KIPS |
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
Machine Translation (Q)
|
68% |
1191
23.0 IPS |