| User | howells |
| Upload Date | August 21 2024 10:55 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1501
279.1 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (Q)
|
100% |
2888
537.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3019
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3444
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3533
4.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
8068
9.46 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (Q)
|
87% |
3085
247.5 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
2833
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
8100
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4067
31.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
4232
32.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
8333
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9601
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9925
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21595
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1865
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4137
153.2 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (Q)
|
91% |
1162
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (Q)
|
90% |
2174
37.8 IPS |