User | MrCrispr |
Upload Date | April 05 2025 03:53 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% |
6076
1.13 KIPS |
|
Image Classification (HP)
|
100% |
6326
1.18 KIPS |
|
Image Classification (Q)
|
100% |
13277
2.47 KIPS |
|
Image Segmentation (SP)
|
100% |
7114
115.3 IPS |
|
Image Segmentation (HP)
|
100% |
7631
123.7 IPS |
|
Image Segmentation (Q)
|
99% |
15590
252.7 IPS |
|
Pose Estimation (SP)
|
100% |
26916
31.4 IPS |
|
Pose Estimation (HP)
|
100% |
27125
31.7 IPS |
|
Pose Estimation (Q)
|
98% |
112594
131.8 IPS |
|
Object Detection (SP)
|
100% |
7047
559.0 IPS |
|
Object Detection (HP)
|
100% |
7082
561.7 IPS |
|
Object Detection (Q)
|
88% |
15954
1.28 KIPS |
|
Face Detection (SP)
|
100% |
15096
179.4 IPS |
|
Face Detection (HP)
|
100% |
13803
164.0 IPS |
|
Face Detection (Q)
|
100% |
38311
455.2 IPS |
|
Depth Estimation (SP)
|
100% |
19818
152.7 IPS |
|
Depth Estimation (HP)
|
99% |
20341
156.7 IPS |
|
Depth Estimation (Q)
|
88% |
58732
457.0 IPS |
|
Style Transfer (SP)
|
100% |
70553
90.7 IPS |
|
Style Transfer (HP)
|
100% |
70368
90.5 IPS |
|
Style Transfer (Q)
|
98% |
261273
336.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
13284
490.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
13026
481.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
34497
1.28 KIPS |
|
Text Classification (SP)
|
100% |
4580
6.11 KIPS |
|
Text Classification (HP)
|
100% |
4510
6.02 KIPS |
|
Text Classification (Q)
|
92% |
5708
7.67 KIPS |
|
Machine Translation (SP)
|
100% |
6146
105.9 IPS |
|
Machine Translation (HP)
|
100% |
6219
107.1 IPS |
|
Machine Translation (Q)
|
100% |
6286
108.3 IPS |