Upload Date | November 20 2024 03:45 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 7 7435HS |
System Information | |
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Operating System | Microsoft Windows 11 Home (64-bit) |
Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NUR_FA507NUR |
Motherboard | ASUSTeK COMPUTER INC. FA507NUR |
CPU Information | |
---|---|
Name | AMD Ryzen 7 7435HS |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
Base Frequency | 3.10 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1565
291.1 IPS |
|
Image Classification (HP)
|
100% |
486
90.4 IPS |
|
Image Classification (Q)
|
96% |
2694
503.0 IPS |
|
Image Segmentation (SP)
|
100% |
596
9.66 IPS |
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
Image Segmentation (Q)
|
97% |
1856
30.2 IPS |
|
Pose Estimation (SP)
|
100% |
5404
6.31 IPS |
|
Pose Estimation (HP)
|
100% |
4491
5.24 IPS |
|
Pose Estimation (Q)
|
87% |
11442
13.5 IPS |
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
Object Detection (Q)
|
86% |
1584
127.3 IPS |
|
Face Detection (SP)
|
100% |
1755
20.9 IPS |
|
Face Detection (HP)
|
100% |
1144
13.6 IPS |
|
Face Detection (Q)
|
96% |
2944
35.1 IPS |
|
Depth Estimation (SP)
|
100% |
5599
43.1 IPS |
|
Depth Estimation (HP)
|
99% |
2013
15.5 IPS |
|
Depth Estimation (Q)
|
77% |
4643
37.2 IPS |
|
Style Transfer (SP)
|
100% |
12851
16.5 IPS |
|
Style Transfer (HP)
|
100% |
11776
15.1 IPS |
|
Style Transfer (Q)
|
87% |
12736
16.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
2185
80.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
2055
75.9 IPS |
|
Image Super-Resolution (Q)
|
97% |
2508
92.9 IPS |
|
Text Classification (SP)
|
100% |
1981
2.64 KIPS |
|
Text Classification (HP)
|
100% |
683
911.0 IPS |
|
Text Classification (Q)
|
97% |
396
530.1 IPS |
|
Machine Translation (SP)
|
100% |
1445
24.9 IPS |
|
Machine Translation (HP)
|
100% |
548
9.45 IPS |
|
Machine Translation (Q)
|
60% |
1485
33.1 IPS |