| User | MrCrispr | 
| Upload Date | September 20 2024 09:48 AM | 
| Views | 18 | 
| 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 | 48.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
7942
 1.48 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
7582
 1.41 KIPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
15352
 2.86 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
9386
 152.2 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
9259
 150.1 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
18376
 297.9 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
31986
 37.3 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
32114
 37.5 IPS  | 
|
| 
Pose Estimation (Q)
 | 
98% | 
128069
 149.9 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
8678
 688.3 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
8627
 684.3 IPS  | 
|
| 
Object Detection (Q)
 | 
88% | 
19090
 1.53 KIPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
18555
 220.5 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
18204
 216.3 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
50970
 605.6 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
26813
 206.6 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
26382
 203.3 IPS  | 
|
| 
Depth Estimation (Q)
 | 
88% | 
71230
 554.2 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
83275
 107.1 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
83303
 107.1 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
294670
 380.0 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
14814
 547.0 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
15189
 560.9 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
39756
 1.47 KIPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
5232
 6.98 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
5254
 7.01 KIPS  | 
|
| 
Text Classification (Q)
 | 
92% | 
6229
 8.37 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
7493
 129.1 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
7634
 131.5 IPS  | 
|
| 
Machine Translation (Q)
 | 
100% | 
7132
 122.8 IPS  |