User | MrCrispr |
Upload Date | September 25 2024 06:04 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% |
6901
1.28 KIPS |
|
Image Classification (HP)
|
100% |
7699
1.43 KIPS |
|
Image Classification (Q)
|
100% |
15945
2.97 KIPS |
|
Image Segmentation (SP)
|
100% |
9229
149.6 IPS |
|
Image Segmentation (HP)
|
100% |
10071
163.3 IPS |
|
Image Segmentation (Q)
|
99% |
18846
305.5 IPS |
|
Pose Estimation (SP)
|
100% |
32948
38.4 IPS |
|
Pose Estimation (HP)
|
100% |
32897
38.4 IPS |
|
Pose Estimation (Q)
|
98% |
130007
152.2 IPS |
|
Object Detection (SP)
|
100% |
8620
683.8 IPS |
|
Object Detection (HP)
|
100% |
8695
689.7 IPS |
|
Object Detection (Q)
|
88% |
19136
1.53 KIPS |
|
Face Detection (SP)
|
100% |
20199
240.0 IPS |
|
Face Detection (HP)
|
100% |
17604
209.2 IPS |
|
Face Detection (Q)
|
100% |
53040
630.2 IPS |
|
Depth Estimation (SP)
|
100% |
24792
191.0 IPS |
|
Depth Estimation (HP)
|
99% |
25637
197.5 IPS |
|
Depth Estimation (Q)
|
88% |
67130
522.3 IPS |
|
Style Transfer (SP)
|
100% |
85451
109.8 IPS |
|
Style Transfer (HP)
|
100% |
85078
109.4 IPS |
|
Style Transfer (Q)
|
98% |
299432
386.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
15146
559.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
14916
550.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
41415
1.53 KIPS |
|
Text Classification (SP)
|
100% |
5493
7.33 KIPS |
|
Text Classification (HP)
|
100% |
5246
7.00 KIPS |
|
Text Classification (Q)
|
92% |
6136
8.24 KIPS |
|
Machine Translation (SP)
|
100% |
7631
131.4 IPS |
|
Machine Translation (HP)
|
100% |
7609
131.1 IPS |
|
Machine Translation (Q)
|
100% |
7342
126.5 IPS |