| User | MrCrispr |
| Upload Date | September 23 2024 08:35 AM |
| Views | 16 |
| 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% |
7293
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
8238
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
15425
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8840
143.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8777
142.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18826
305.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32763
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32576
38.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
131304
153.7 IPS |
|
|
Object Detection (SP)
|
100% |
8745
693.7 IPS |
|
|
Object Detection (HP)
|
100% |
9143
725.2 IPS |
|
|
Object Detection (Q)
|
88% |
18687
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
18962
225.3 IPS |
|
|
Face Detection (HP)
|
100% |
19954
237.1 IPS |
|
|
Face Detection (Q)
|
100% |
47028
558.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25005
192.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25265
194.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67797
527.5 IPS |
|
|
Style Transfer (SP)
|
100% |
84983
109.2 IPS |
|
|
Style Transfer (HP)
|
100% |
84819
109.0 IPS |
|
|
Style Transfer (Q)
|
98% |
297789
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15103
557.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15019
554.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39565
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5256
7.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5215
6.96 KIPS |
|
|
Text Classification (Q)
|
92% |
6698
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
7546
130.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7510
129.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7074
121.8 IPS |