| User | MrCrispr | 
| Upload Date | October 19 2024 09:52 AM | 
| Views | 11 | 
| 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% | 
7248
 1.35 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
7520
 1.40 KIPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
15789
 2.94 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
8496
 137.7 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
8732
 141.5 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
18031
 292.3 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
32781
 38.3 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
33110
 38.6 IPS  | 
|
| 
Pose Estimation (Q)
 | 
98% | 
131702
 154.2 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
9049
 717.8 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
8723
 691.9 IPS  | 
|
| 
Object Detection (Q)
 | 
88% | 
19378
 1.55 KIPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
18630
 221.4 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
19682
 233.9 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
47990
 570.2 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
26202
 201.9 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
25485
 196.3 IPS  | 
|
| 
Depth Estimation (Q)
 | 
88% | 
68221
 530.8 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
86340
 111.0 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
85930
 110.5 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
300494
 387.5 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
15487
 571.9 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
15333
 566.2 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
40547
 1.50 KIPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
5490
 7.33 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
5337
 7.12 KIPS  | 
|
| 
Text Classification (Q)
 | 
92% | 
6309
 8.48 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
8105
 139.6 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
8026
 138.3 IPS  | 
|
| 
Machine Translation (Q)
 | 
100% | 
7400
 127.5 IPS  |