User | MrCrispr |
Upload Date | September 22 2024 10:15 AM |
Views | 5 |
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 | 48.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7062
1.31 KIPS |
|
Image Classification (HP)
|
100% |
7273
1.35 KIPS |
|
Image Classification (Q)
|
100% |
15715
2.92 KIPS |
|
Image Segmentation (SP)
|
100% |
9677
156.9 IPS |
|
Image Segmentation (HP)
|
100% |
8604
139.5 IPS |
|
Image Segmentation (Q)
|
99% |
17931
290.7 IPS |
|
Pose Estimation (SP)
|
100% |
31682
37.0 IPS |
|
Pose Estimation (HP)
|
100% |
31718
37.0 IPS |
|
Pose Estimation (Q)
|
98% |
126687
148.3 IPS |
|
Object Detection (SP)
|
100% |
8528
676.5 IPS |
|
Object Detection (HP)
|
100% |
8266
655.7 IPS |
|
Object Detection (Q)
|
88% |
18685
1.50 KIPS |
|
Face Detection (SP)
|
100% |
19089
226.8 IPS |
|
Face Detection (HP)
|
100% |
20032
238.0 IPS |
|
Face Detection (Q)
|
100% |
52301
621.4 IPS |
|
Depth Estimation (SP)
|
100% |
26232
202.1 IPS |
|
Depth Estimation (HP)
|
99% |
24456
188.4 IPS |
|
Depth Estimation (Q)
|
88% |
65402
508.9 IPS |
|
Style Transfer (SP)
|
100% |
82484
106.0 IPS |
|
Style Transfer (HP)
|
100% |
83024
106.7 IPS |
|
Style Transfer (Q)
|
98% |
292350
377.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
15049
555.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
15098
557.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
39528
1.46 KIPS |
|
Text Classification (SP)
|
100% |
5081
6.78 KIPS |
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
Text Classification (Q)
|
92% |
6308
8.47 KIPS |
|
Machine Translation (SP)
|
100% |
7359
126.8 IPS |
|
Machine Translation (HP)
|
100% |
7505
129.3 IPS |
|
Machine Translation (Q)
|
100% |
6943
119.6 IPS |