| User | NATA |
| Upload Date | May 26 2025 12:06 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Prestazioni elevate |
| 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% |
7191
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7226
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
18402
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9880
160.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9727
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26890
435.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32019
37.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31569
36.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
128651
150.6 IPS |
|
|
Object Detection (SP)
|
100% |
9151
725.8 IPS |
|
|
Object Detection (HP)
|
100% |
8445
669.9 IPS |
|
|
Object Detection (Q)
|
88% |
21027
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
17836
211.9 IPS |
|
|
Face Detection (HP)
|
100% |
18787
223.2 IPS |
|
|
Face Detection (Q)
|
100% |
51566
612.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22891
176.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24101
185.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
73124
569.1 IPS |
|
|
Style Transfer (SP)
|
100% |
83795
107.7 IPS |
|
|
Style Transfer (HP)
|
100% |
84595
108.7 IPS |
|
|
Style Transfer (Q)
|
98% |
301337
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15451
570.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15657
578.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40681
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5023
6.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5040
6.73 KIPS |
|
|
Text Classification (Q)
|
92% |
5740
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
9161
157.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9166
157.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9820
169.2 IPS |