User | MrCrispr |
Upload Date | October 22 2024 08:48 AM |
Views | 7 |
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% |
8249
1.53 KIPS |
|
Image Classification (HP)
|
100% |
7154
1.33 KIPS |
|
Image Classification (Q)
|
100% |
16205
3.01 KIPS |
|
Image Segmentation (SP)
|
100% |
8620
139.7 IPS |
|
Image Segmentation (HP)
|
100% |
8804
142.7 IPS |
|
Image Segmentation (Q)
|
99% |
18657
302.4 IPS |
|
Pose Estimation (SP)
|
100% |
34006
39.7 IPS |
|
Pose Estimation (HP)
|
100% |
33697
39.3 IPS |
|
Pose Estimation (Q)
|
98% |
134209
157.1 IPS |
|
Object Detection (SP)
|
100% |
8933
708.6 IPS |
|
Object Detection (HP)
|
100% |
8889
705.1 IPS |
|
Object Detection (Q)
|
88% |
19788
1.59 KIPS |
|
Face Detection (SP)
|
100% |
21092
250.6 IPS |
|
Face Detection (HP)
|
100% |
19957
237.1 IPS |
|
Face Detection (Q)
|
100% |
57520
683.5 IPS |
|
Depth Estimation (SP)
|
100% |
26684
205.6 IPS |
|
Depth Estimation (HP)
|
99% |
25290
194.8 IPS |
|
Depth Estimation (Q)
|
88% |
68261
531.1 IPS |
|
Style Transfer (SP)
|
100% |
87032
111.9 IPS |
|
Style Transfer (HP)
|
100% |
87187
112.1 IPS |
|
Style Transfer (Q)
|
98% |
303957
391.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
15547
574.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
15230
562.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
42252
1.56 KIPS |
|
Text Classification (SP)
|
100% |
5416
7.23 KIPS |
|
Text Classification (HP)
|
100% |
5426
7.24 KIPS |
|
Text Classification (Q)
|
92% |
6454
8.67 KIPS |
|
Machine Translation (SP)
|
100% |
7668
132.1 IPS |
|
Machine Translation (HP)
|
100% |
7536
129.8 IPS |
|
Machine Translation (Q)
|
100% |
7141
123.0 IPS |