User | BantalBambu |
Upload Date | May 07 2025 02:56 PM |
Views | 7 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 5 7500F |
System Information | |
---|---|
Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. B650M-AYW WIFI |
Power Plan | Ultimate Performance |
CPU Information | |
---|---|
Name | AMD Ryzen 5 7500F |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 3.70 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3670
682.5 IPS |
|
Image Classification (HP)
|
100% |
715
133.0 IPS |
|
Image Classification (Q)
|
99% |
7852
1.46 KIPS |
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
Image Segmentation (HP)
|
100% |
1050
17.0 IPS |
|
Image Segmentation (Q)
|
98% |
2661
43.3 IPS |
|
Pose Estimation (SP)
|
100% |
5222
6.09 IPS |
|
Pose Estimation (HP)
|
100% |
4745
5.54 IPS |
|
Pose Estimation (Q)
|
94% |
22459
26.3 IPS |
|
Object Detection (SP)
|
100% |
3520
279.2 IPS |
|
Object Detection (HP)
|
100% |
955
75.8 IPS |
|
Object Detection (Q)
|
86% |
6014
483.3 IPS |
|
Face Detection (SP)
|
100% |
8485
100.8 IPS |
|
Face Detection (HP)
|
100% |
2157
25.6 IPS |
|
Face Detection (Q)
|
97% |
9994
119.2 IPS |
|
Depth Estimation (SP)
|
100% |
7056
54.4 IPS |
|
Depth Estimation (HP)
|
99% |
2663
20.5 IPS |
|
Depth Estimation (Q)
|
78% |
16864
134.6 IPS |
|
Style Transfer (SP)
|
100% |
13451
17.3 IPS |
|
Style Transfer (HP)
|
100% |
11121
14.3 IPS |
|
Style Transfer (Q)
|
98% |
29990
38.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
2379
87.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
2443
90.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
4419
163.6 IPS |
|
Text Classification (SP)
|
100% |
1714
2.29 KIPS |
|
Text Classification (HP)
|
100% |
951
1.27 KIPS |
|
Text Classification (Q)
|
97% |
522
700.0 IPS |
|
Machine Translation (SP)
|
100% |
2889
49.8 IPS |
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
Machine Translation (Q)
|
65% |
4448
89.4 IPS |