User | MrCrispr |
Upload Date | October 11 2024 06:18 AM |
Views | 4 |
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% |
7244
1.35 KIPS |
|
Image Classification (HP)
|
100% |
6960
1.29 KIPS |
|
Image Classification (Q)
|
100% |
16176
3.01 KIPS |
|
Image Segmentation (SP)
|
100% |
9117
147.8 IPS |
|
Image Segmentation (HP)
|
100% |
8963
145.3 IPS |
|
Image Segmentation (Q)
|
99% |
18801
304.8 IPS |
|
Pose Estimation (SP)
|
100% |
32257
37.6 IPS |
|
Pose Estimation (HP)
|
100% |
32660
38.1 IPS |
|
Pose Estimation (Q)
|
98% |
130022
152.2 IPS |
|
Object Detection (SP)
|
100% |
8728
692.3 IPS |
|
Object Detection (HP)
|
100% |
8255
654.8 IPS |
|
Object Detection (Q)
|
88% |
18927
1.52 KIPS |
|
Face Detection (SP)
|
100% |
17671
210.0 IPS |
|
Face Detection (HP)
|
100% |
16706
198.5 IPS |
|
Face Detection (Q)
|
100% |
47144
560.2 IPS |
|
Depth Estimation (SP)
|
100% |
25115
193.5 IPS |
|
Depth Estimation (HP)
|
99% |
26548
204.5 IPS |
|
Depth Estimation (Q)
|
88% |
66061
514.0 IPS |
|
Style Transfer (SP)
|
100% |
84015
108.0 IPS |
|
Style Transfer (HP)
|
100% |
83482
107.3 IPS |
|
Style Transfer (Q)
|
98% |
302440
390.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
14813
547.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
15176
560.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
41199
1.53 KIPS |
|
Text Classification (SP)
|
100% |
5309
7.09 KIPS |
|
Text Classification (HP)
|
100% |
5584
7.45 KIPS |
|
Text Classification (Q)
|
92% |
6245
8.39 KIPS |
|
Machine Translation (SP)
|
100% |
7667
132.1 IPS |
|
Machine Translation (HP)
|
100% |
7741
133.3 IPS |
|
Machine Translation (Q)
|
100% |
7044
121.3 IPS |