| User | DieZweiEinen |
| Upload Date | August 18 2024 01:50 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | AB350 Gaming K4 |
| Motherboard | ASRock AB350 Gaming K4 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2649
492.6 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.2 IPS |
|
|
Image Classification (Q)
|
100% |
4223
785.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2978
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4091
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5122
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
5128
5.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
10763
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2613
207.3 IPS |
|
|
Object Detection (HP)
|
100% |
2079
164.9 IPS |
|
|
Object Detection (Q)
|
87% |
4251
340.9 IPS |
|
|
Face Detection (SP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (HP)
|
100% |
6212
73.8 IPS |
|
|
Face Detection (Q)
|
97% |
12848
153.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6844
52.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
4991
38.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
11954
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15517
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15374
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29809
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3025
111.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3251
120.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6459
239.3 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2078
2.77 KIPS |
|
|
Text Classification (Q)
|
91% |
1462
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4210
72.5 IPS |
|
|
Machine Translation (Q)
|
90% |
3168
55.0 IPS |