| User | MrCrispr | 
| Upload Date | September 23 2024 01:14 AM | 
| Views | 13 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen 9 9950X 16-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 | 
| Base Frequency | 4.30 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
7027
 1.31 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
6776
 1.26 KIPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
16078
 2.99 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
9458
 153.3 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
9279
 150.4 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
18782
 304.5 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
32772
 38.2 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
33087
 38.6 IPS  | 
|
| 
Pose Estimation (Q)
 | 
98% | 
130285
 152.5 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
8967
 711.2 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
8415
 667.4 IPS  | 
|
| 
Object Detection (Q)
 | 
88% | 
18793
 1.51 KIPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
17955
 213.3 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
19037
 226.2 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
50701
 602.4 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
25868
 199.3 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
25204
 194.2 IPS  | 
|
| 
Depth Estimation (Q)
 | 
88% | 
66845
 520.1 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
84378
 108.5 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
84809
 109.0 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
301094
 388.3 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
15859
 585.6 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
15069
 556.4 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
40104
 1.49 KIPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
5436
 7.26 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
5260
 7.02 KIPS  | 
|
| 
Text Classification (Q)
 | 
92% | 
6714
 9.02 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
7746
 133.4 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
7710
 132.8 IPS  | 
|
| 
Machine Translation (Q)
 | 
100% | 
7195
 123.9 IPS  |