Upload Date | August 15 2024 09:15 PM |
Views | 7 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 7950X3D 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE |
Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE |
Power Plan | Bitsum Highest Performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X3D |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.20 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4962
922.7 IPS |
|
Image Classification (HP)
|
100% |
5133
954.7 IPS |
|
Image Classification (Q)
|
100% |
10388
1.93 KIPS |
|
Image Segmentation (SP)
|
100% |
5244
85.0 IPS |
|
Image Segmentation (HP)
|
100% |
5121
83.0 IPS |
|
Image Segmentation (Q)
|
99% |
10601
171.9 IPS |
|
Pose Estimation (SP)
|
100% |
16143
18.8 IPS |
|
Pose Estimation (HP)
|
100% |
16243
19.0 IPS |
|
Pose Estimation (Q)
|
98% |
62218
72.8 IPS |
|
Object Detection (SP)
|
100% |
5382
426.9 IPS |
|
Object Detection (HP)
|
100% |
5476
434.4 IPS |
|
Object Detection (Q)
|
88% |
11542
925.2 IPS |
|
Face Detection (SP)
|
100% |
14190
168.6 IPS |
|
Face Detection (HP)
|
100% |
14476
172.0 IPS |
|
Face Detection (Q)
|
100% |
35584
422.8 IPS |
|
Depth Estimation (SP)
|
100% |
16459
126.8 IPS |
|
Depth Estimation (HP)
|
100% |
17351
133.7 IPS |
|
Depth Estimation (Q)
|
80% |
42388
335.9 IPS |
|
Style Transfer (SP)
|
100% |
41483
53.3 IPS |
|
Style Transfer (HP)
|
100% |
41452
53.3 IPS |
|
Style Transfer (Q)
|
98% |
150612
194.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
8022
296.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
8102
299.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
22499
833.2 IPS |
|
Text Classification (SP)
|
100% |
3671
4.90 KIPS |
|
Text Classification (HP)
|
100% |
3768
5.03 KIPS |
|
Text Classification (Q)
|
92% |
4200
5.64 KIPS |
|
Machine Translation (SP)
|
100% |
5114
88.1 IPS |
|
Machine Translation (HP)
|
100% |
5096
87.8 IPS |
|
Machine Translation (Q)
|
85% |
5495
96.1 IPS |