User | MrCrispr |
Upload Date | October 11 2024 08:58 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% |
7090
1.32 KIPS |
|
Image Classification (HP)
|
100% |
7236
1.35 KIPS |
|
Image Classification (Q)
|
100% |
16263
3.02 KIPS |
|
Image Segmentation (SP)
|
100% |
9035
146.5 IPS |
|
Image Segmentation (HP)
|
100% |
9545
154.7 IPS |
|
Image Segmentation (Q)
|
99% |
18860
305.7 IPS |
|
Pose Estimation (SP)
|
100% |
32963
38.5 IPS |
|
Pose Estimation (HP)
|
100% |
32715
38.2 IPS |
|
Pose Estimation (Q)
|
98% |
131457
153.9 IPS |
|
Object Detection (SP)
|
100% |
8513
675.2 IPS |
|
Object Detection (HP)
|
100% |
8840
701.2 IPS |
|
Object Detection (Q)
|
88% |
19936
1.60 KIPS |
|
Face Detection (SP)
|
100% |
20346
241.8 IPS |
|
Face Detection (HP)
|
100% |
20348
241.8 IPS |
|
Face Detection (Q)
|
100% |
48841
580.3 IPS |
|
Depth Estimation (SP)
|
100% |
25906
199.6 IPS |
|
Depth Estimation (HP)
|
99% |
27081
208.6 IPS |
|
Depth Estimation (Q)
|
88% |
69904
543.9 IPS |
|
Style Transfer (SP)
|
100% |
84516
108.6 IPS |
|
Style Transfer (HP)
|
100% |
85640
110.1 IPS |
|
Style Transfer (Q)
|
98% |
301584
388.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
15834
584.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
15453
570.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
40865
1.51 KIPS |
|
Text Classification (SP)
|
100% |
5524
7.37 KIPS |
|
Text Classification (HP)
|
100% |
5376
7.18 KIPS |
|
Text Classification (Q)
|
92% |
6332
8.51 KIPS |
|
Machine Translation (SP)
|
100% |
7741
133.3 IPS |
|
Machine Translation (HP)
|
100% |
7477
128.8 IPS |
|
Machine Translation (Q)
|
100% |
7358
126.7 IPS |