User | NeilB |
Upload Date | September 29 2024 03:18 PM |
Views | 3 |
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 X670E GENE |
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% |
7362
1.37 KIPS |
|
Image Classification (HP)
|
100% |
7433
1.38 KIPS |
|
Image Classification (Q)
|
100% |
15370
2.86 KIPS |
|
Image Segmentation (SP)
|
100% |
8840
143.3 IPS |
|
Image Segmentation (HP)
|
100% |
8682
140.7 IPS |
|
Image Segmentation (Q)
|
99% |
19033
308.5 IPS |
|
Pose Estimation (SP)
|
100% |
33338
38.9 IPS |
|
Pose Estimation (HP)
|
100% |
33360
38.9 IPS |
|
Pose Estimation (Q)
|
98% |
133951
156.8 IPS |
|
Object Detection (SP)
|
100% |
8448
670.1 IPS |
|
Object Detection (HP)
|
100% |
8599
682.1 IPS |
|
Object Detection (Q)
|
88% |
18444
1.48 KIPS |
|
Face Detection (SP)
|
100% |
18782
223.2 IPS |
|
Face Detection (HP)
|
100% |
18733
222.6 IPS |
|
Face Detection (Q)
|
100% |
50091
595.2 IPS |
|
Depth Estimation (SP)
|
100% |
25947
199.9 IPS |
|
Depth Estimation (HP)
|
100% |
24895
191.8 IPS |
|
Depth Estimation (Q)
|
80% |
67687
536.4 IPS |
|
Style Transfer (SP)
|
100% |
86047
110.6 IPS |
|
Style Transfer (HP)
|
100% |
85770
110.3 IPS |
|
Style Transfer (Q)
|
98% |
305816
394.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
15489
571.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
15922
587.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
39292
1.46 KIPS |
|
Text Classification (SP)
|
100% |
5048
6.74 KIPS |
|
Text Classification (HP)
|
100% |
5044
6.73 KIPS |
|
Text Classification (Q)
|
92% |
5799
7.79 KIPS |
|
Machine Translation (SP)
|
100% |
7281
125.4 IPS |
|
Machine Translation (HP)
|
100% |
7590
130.7 IPS |
|
Machine Translation (Q)
|
85% |
6724
117.5 IPS |