User | MrCrispr |
Upload Date | September 25 2024 05:08 AM |
Views | 6 |
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% |
8045
1.50 KIPS |
|
Image Classification (HP)
|
100% |
7633
1.42 KIPS |
|
Image Classification (Q)
|
100% |
15792
2.94 KIPS |
|
Image Segmentation (SP)
|
100% |
8881
144.0 IPS |
|
Image Segmentation (HP)
|
100% |
8256
133.8 IPS |
|
Image Segmentation (Q)
|
99% |
18511
300.1 IPS |
|
Pose Estimation (SP)
|
100% |
32329
37.7 IPS |
|
Pose Estimation (HP)
|
100% |
32674
38.1 IPS |
|
Pose Estimation (Q)
|
98% |
129662
151.8 IPS |
|
Object Detection (SP)
|
100% |
8260
655.2 IPS |
|
Object Detection (HP)
|
100% |
8743
693.5 IPS |
|
Object Detection (Q)
|
88% |
18915
1.52 KIPS |
|
Face Detection (SP)
|
100% |
19319
229.6 IPS |
|
Face Detection (HP)
|
100% |
19425
230.8 IPS |
|
Face Detection (Q)
|
100% |
48005
570.4 IPS |
|
Depth Estimation (SP)
|
100% |
24469
188.5 IPS |
|
Depth Estimation (HP)
|
99% |
24190
186.4 IPS |
|
Depth Estimation (Q)
|
88% |
68863
535.8 IPS |
|
Style Transfer (SP)
|
100% |
84960
109.2 IPS |
|
Style Transfer (HP)
|
100% |
84893
109.1 IPS |
|
Style Transfer (Q)
|
98% |
299618
386.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
15318
565.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
15451
570.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
41037
1.52 KIPS |
|
Text Classification (SP)
|
100% |
5085
6.79 KIPS |
|
Text Classification (HP)
|
100% |
5292
7.06 KIPS |
|
Text Classification (Q)
|
92% |
6169
8.29 KIPS |
|
Machine Translation (SP)
|
100% |
7497
129.1 IPS |
|
Machine Translation (HP)
|
100% |
7511
129.4 IPS |
|
Machine Translation (Q)
|
100% |
7414
127.7 IPS |