User | Redwoodz |
Upload Date | September 29 2024 06:59 AM |
Views | 6 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 7 5700G with Radeon Graphics |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | B450 Steel Legend |
Motherboard | ASRock B450 Steel Legend |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 7 5700G |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
Base Frequency | 4.73 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3645
677.8 IPS |
|
Image Classification (HP)
|
100% |
3563
662.6 IPS |
|
Image Classification (Q)
|
100% |
5797
1.08 KIPS |
|
Image Segmentation (SP)
|
100% |
2286
37.1 IPS |
|
Image Segmentation (HP)
|
100% |
2244
36.4 IPS |
|
Image Segmentation (Q)
|
99% |
4833
78.6 IPS |
|
Pose Estimation (SP)
|
100% |
7404
8.64 IPS |
|
Pose Estimation (HP)
|
100% |
7155
8.35 IPS |
|
Pose Estimation (Q)
|
94% |
15753
18.5 IPS |
|
Object Detection (SP)
|
100% |
2985
236.8 IPS |
|
Object Detection (HP)
|
100% |
3040
241.2 IPS |
|
Object Detection (Q)
|
87% |
5601
449.2 IPS |
|
Face Detection (SP)
|
100% |
3763
44.7 IPS |
|
Face Detection (HP)
|
100% |
3837
45.6 IPS |
|
Face Detection (Q)
|
97% |
14719
175.5 IPS |
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
Depth Estimation (HP)
|
99% |
9151
70.5 IPS |
|
Depth Estimation (Q)
|
81% |
15684
123.8 IPS |
|
Style Transfer (SP)
|
100% |
20382
26.2 IPS |
|
Style Transfer (HP)
|
100% |
20352
26.2 IPS |
|
Style Transfer (Q)
|
98% |
43846
56.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
4264
157.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
4326
159.7 IPS |
|
Image Super-Resolution (Q)
|
98% |
9017
334.0 IPS |
|
Text Classification (SP)
|
100% |
1721
2.30 KIPS |
|
Text Classification (HP)
|
100% |
1768
2.36 KIPS |
|
Text Classification (Q)
|
91% |
1414
1.90 KIPS |
|
Machine Translation (SP)
|
100% |
4925
84.8 IPS |
|
Machine Translation (HP)
|
100% |
4776
82.3 IPS |
|
Machine Translation (Q)
|
100% |
4868
83.9 IPS |