| User | arcashton |
| Upload Date | August 17 2024 01:42 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2827
525.7 IPS |
|
|
Image Classification (HP)
|
100% |
2690
500.3 IPS |
|
|
Image Classification (Q)
|
100% |
3374
627.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3885
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8967
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8885
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
9995
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.8 IPS |
|
|
Object Detection (HP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (Q)
|
87% |
3659
293.5 IPS |
|
|
Face Detection (SP)
|
100% |
5688
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
6110
72.6 IPS |
|
|
Face Detection (Q)
|
97% |
12120
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8010
61.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
7768
59.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
10112
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24384
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25235
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29375
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4293
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5592
207.1 IPS |
|
|
Text Classification (SP)
|
100% |
647
864.2 IPS |
|
|
Text Classification (HP)
|
100% |
641
855.2 IPS |
|
|
Text Classification (Q)
|
91% |
367
492.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2040
35.1 IPS |
|
|
Machine Translation (Q)
|
90% |
1401
24.3 IPS |