User | MrCrispr |
Upload Date | October 05 2024 04:41 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% |
7358
1.37 KIPS |
|
Image Classification (HP)
|
100% |
7326
1.36 KIPS |
|
Image Classification (Q)
|
100% |
16040
2.98 KIPS |
|
Image Segmentation (SP)
|
100% |
8766
142.1 IPS |
|
Image Segmentation (HP)
|
100% |
8497
137.7 IPS |
|
Image Segmentation (Q)
|
99% |
17566
284.8 IPS |
|
Pose Estimation (SP)
|
100% |
32251
37.6 IPS |
|
Pose Estimation (HP)
|
100% |
32042
37.4 IPS |
|
Pose Estimation (Q)
|
98% |
129571
151.7 IPS |
|
Object Detection (SP)
|
100% |
8721
691.8 IPS |
|
Object Detection (HP)
|
100% |
8263
655.4 IPS |
|
Object Detection (Q)
|
88% |
18584
1.49 KIPS |
|
Face Detection (SP)
|
100% |
20082
238.6 IPS |
|
Face Detection (HP)
|
100% |
20676
245.7 IPS |
|
Face Detection (Q)
|
100% |
51408
610.8 IPS |
|
Depth Estimation (SP)
|
100% |
25388
195.6 IPS |
|
Depth Estimation (HP)
|
99% |
24022
185.1 IPS |
|
Depth Estimation (Q)
|
88% |
65539
510.0 IPS |
|
Style Transfer (SP)
|
100% |
84919
109.2 IPS |
|
Style Transfer (HP)
|
100% |
84148
108.2 IPS |
|
Style Transfer (Q)
|
98% |
288759
372.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
15211
561.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
14665
541.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
39158
1.45 KIPS |
|
Text Classification (SP)
|
100% |
5015
6.69 KIPS |
|
Text Classification (HP)
|
100% |
5150
6.87 KIPS |
|
Text Classification (Q)
|
92% |
6085
8.17 KIPS |
|
Machine Translation (SP)
|
100% |
7854
135.3 IPS |
|
Machine Translation (HP)
|
100% |
7558
130.2 IPS |
|
Machine Translation (Q)
|
100% |
7814
134.6 IPS |