User | MrCrispr |
Upload Date | October 12 2024 03:58 AM |
Views | 2 |
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% |
7591
1.41 KIPS |
|
Image Classification (HP)
|
100% |
7345
1.37 KIPS |
|
Image Classification (Q)
|
100% |
15567
2.90 KIPS |
|
Image Segmentation (SP)
|
100% |
9226
149.6 IPS |
|
Image Segmentation (HP)
|
100% |
8968
145.4 IPS |
|
Image Segmentation (Q)
|
99% |
18761
304.1 IPS |
|
Pose Estimation (SP)
|
100% |
31677
37.0 IPS |
|
Pose Estimation (HP)
|
100% |
31322
36.5 IPS |
|
Pose Estimation (Q)
|
98% |
130007
152.2 IPS |
|
Object Detection (SP)
|
100% |
8580
680.5 IPS |
|
Object Detection (HP)
|
100% |
8526
676.3 IPS |
|
Object Detection (Q)
|
88% |
18950
1.52 KIPS |
|
Face Detection (SP)
|
100% |
20326
241.5 IPS |
|
Face Detection (HP)
|
100% |
19709
234.2 IPS |
|
Face Detection (Q)
|
100% |
49786
591.6 IPS |
|
Depth Estimation (SP)
|
100% |
26517
204.3 IPS |
|
Depth Estimation (HP)
|
99% |
25900
199.5 IPS |
|
Depth Estimation (Q)
|
88% |
66824
520.0 IPS |
|
Style Transfer (SP)
|
100% |
85471
109.9 IPS |
|
Style Transfer (HP)
|
100% |
85350
109.7 IPS |
|
Style Transfer (Q)
|
98% |
297888
384.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
15458
570.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
15719
580.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
40051
1.48 KIPS |
|
Text Classification (SP)
|
100% |
5295
7.07 KIPS |
|
Text Classification (HP)
|
100% |
5252
7.01 KIPS |
|
Text Classification (Q)
|
92% |
6085
8.17 KIPS |
|
Machine Translation (SP)
|
100% |
7708
132.8 IPS |
|
Machine Translation (HP)
|
100% |
7475
128.8 IPS |
|
Machine Translation (Q)
|
100% |
7250
124.9 IPS |