| User | somata |
| Upload Date | September 24 2024 06:42 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AB350-Gaming 3 |
| Motherboard | Gigabyte Technology Co., Ltd. AB350-Gaming 3-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2762
513.6 IPS |
|
|
Image Classification (HP)
|
100% |
2783
517.5 IPS |
|
|
Image Classification (Q)
|
100% |
4162
774.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4164
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4942
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4951
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
10405
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
2580
204.6 IPS |
|
|
Object Detection (Q)
|
87% |
4475
358.9 IPS |
|
|
Face Detection (SP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
6729
80.0 IPS |
|
|
Face Detection (Q)
|
97% |
12503
149.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6531
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6571
50.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
11748
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14799
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14956
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30224
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3071
113.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3120
115.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6265
232.1 IPS |
|
|
Text Classification (SP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (Q)
|
91% |
1528
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4143
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4052
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4055
69.8 IPS |