User | MrCrispr |
Upload Date | October 11 2024 01:44 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% |
7541
1.40 KIPS |
|
Image Classification (HP)
|
100% |
7329
1.36 KIPS |
|
Image Classification (Q)
|
100% |
15690
2.92 KIPS |
|
Image Segmentation (SP)
|
100% |
8804
142.7 IPS |
|
Image Segmentation (HP)
|
100% |
9265
150.2 IPS |
|
Image Segmentation (Q)
|
99% |
17476
283.3 IPS |
|
Pose Estimation (SP)
|
100% |
33408
39.0 IPS |
|
Pose Estimation (HP)
|
100% |
33217
38.8 IPS |
|
Pose Estimation (Q)
|
98% |
130628
152.9 IPS |
|
Object Detection (SP)
|
100% |
9168
727.2 IPS |
|
Object Detection (HP)
|
100% |
8217
651.7 IPS |
|
Object Detection (Q)
|
88% |
18417
1.48 KIPS |
|
Face Detection (SP)
|
100% |
19147
227.5 IPS |
|
Face Detection (HP)
|
100% |
19298
229.3 IPS |
|
Face Detection (Q)
|
100% |
49727
590.9 IPS |
|
Depth Estimation (SP)
|
100% |
24794
191.0 IPS |
|
Depth Estimation (HP)
|
99% |
25916
199.7 IPS |
|
Depth Estimation (Q)
|
88% |
70219
546.4 IPS |
|
Style Transfer (SP)
|
100% |
86161
110.8 IPS |
|
Style Transfer (HP)
|
100% |
85328
109.7 IPS |
|
Style Transfer (Q)
|
98% |
302182
389.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
15023
554.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
15168
560.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
41300
1.53 KIPS |
|
Text Classification (SP)
|
100% |
5448
7.27 KIPS |
|
Text Classification (HP)
|
100% |
5095
6.80 KIPS |
|
Text Classification (Q)
|
92% |
6882
9.25 KIPS |
|
Machine Translation (SP)
|
100% |
8040
138.5 IPS |
|
Machine Translation (HP)
|
100% |
8058
138.8 IPS |
|
Machine Translation (Q)
|
100% |
7494
129.1 IPS |