| User | MrCrispr | 
| Upload Date | September 25 2024 05:52 AM | 
| Views | 19 | 
| 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% | 
7210
 1.34 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
7904
 1.47 KIPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
15618
 2.90 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
8857
 143.6 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
9519
 154.3 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
19207
 311.4 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
32964
 38.5 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
32895
 38.4 IPS  | 
|
| 
Pose Estimation (Q)
 | 
98% | 
130670
 153.0 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
8323
 660.2 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
8792
 697.4 IPS  | 
|
| 
Object Detection (Q)
 | 
88% | 
19571
 1.57 KIPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
18573
 220.7 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
19436
 230.9 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
48483
 576.1 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
24652
 189.9 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
26715
 205.8 IPS  | 
|
| 
Depth Estimation (Q)
 | 
88% | 
68322
 531.6 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
84795
 109.0 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
84614
 108.8 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
303462
 391.3 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
15562
 574.6 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
15548
 574.1 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
40857
 1.51 KIPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
5343
 7.13 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
5425
 7.24 KIPS  | 
|
| 
Text Classification (Q)
 | 
92% | 
6248
 8.39 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
7522
 129.6 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
7720
 133.0 IPS  | 
|
| 
Machine Translation (Q)
 | 
100% | 
6997
 120.5 IPS  |