User | MrCrispr |
Upload Date | October 19 2024 09:47 AM |
Views | 4 |
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% |
7706
1.43 KIPS |
|
Image Classification (HP)
|
100% |
7509
1.40 KIPS |
|
Image Classification (Q)
|
100% |
15823
2.94 KIPS |
|
Image Segmentation (SP)
|
100% |
8685
140.8 IPS |
|
Image Segmentation (HP)
|
100% |
9058
146.8 IPS |
|
Image Segmentation (Q)
|
99% |
18170
294.6 IPS |
|
Pose Estimation (SP)
|
100% |
33088
38.6 IPS |
|
Pose Estimation (HP)
|
100% |
33266
38.8 IPS |
|
Pose Estimation (Q)
|
98% |
131638
154.1 IPS |
|
Object Detection (SP)
|
100% |
8531
676.7 IPS |
|
Object Detection (HP)
|
100% |
8527
676.4 IPS |
|
Object Detection (Q)
|
88% |
20249
1.62 KIPS |
|
Face Detection (SP)
|
100% |
19389
230.4 IPS |
|
Face Detection (HP)
|
100% |
18522
220.1 IPS |
|
Face Detection (Q)
|
100% |
49573
589.0 IPS |
|
Depth Estimation (SP)
|
100% |
25911
199.6 IPS |
|
Depth Estimation (HP)
|
99% |
25922
199.7 IPS |
|
Depth Estimation (Q)
|
88% |
63720
495.8 IPS |
|
Style Transfer (SP)
|
100% |
85717
110.2 IPS |
|
Style Transfer (HP)
|
100% |
85331
109.7 IPS |
|
Style Transfer (Q)
|
98% |
302058
389.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
15371
567.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
15687
579.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
40681
1.51 KIPS |
|
Text Classification (SP)
|
100% |
5325
7.11 KIPS |
|
Text Classification (HP)
|
100% |
5442
7.26 KIPS |
|
Text Classification (Q)
|
92% |
6049
8.13 KIPS |
|
Machine Translation (SP)
|
100% |
7706
132.7 IPS |
|
Machine Translation (HP)
|
100% |
8124
139.9 IPS |
|
Machine Translation (Q)
|
100% |
7635
131.5 IPS |