| User | CoreRemnant |
| Upload Date | August 15 2024 08:30 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2859
531.7 IPS |
|
|
Image Classification (HP)
|
100% |
2794
519.6 IPS |
|
|
Image Classification (Q)
|
100% |
7641
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2772
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6811
110.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5743
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5742
6.70 IPS |
|
|
Pose Estimation (Q)
|
98% |
22708
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
100% |
2593
205.7 IPS |
|
|
Object Detection (Q)
|
88% |
7706
617.8 IPS |
|
|
Face Detection (SP)
|
100% |
6107
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
6126
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
19675
233.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7427
57.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
7382
56.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
19561
155.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15773
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16000
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
58386
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3379
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3410
125.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11395
422.0 IPS |
|
|
Text Classification (SP)
|
100% |
2687
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (Q)
|
92% |
3911
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4013
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4003
69.0 IPS |
|
|
Machine Translation (Q)
|
85% |
5993
104.8 IPS |