User | neo9922 |
Upload Date | May 26 2025 10:48 AM |
Views | 5 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 7950X3D 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Professionnel (64-bit) |
Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
Power Plan | Utilisation normale |
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 | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4846
901.2 IPS |
|
Image Classification (HP)
|
100% |
5164
960.4 IPS |
|
Image Classification (Q)
|
100% |
12150
2.26 KIPS |
|
Image Segmentation (SP)
|
100% |
6243
101.2 IPS |
|
Image Segmentation (HP)
|
100% |
6528
105.8 IPS |
|
Image Segmentation (Q)
|
99% |
18008
291.9 IPS |
|
Pose Estimation (SP)
|
100% |
14447
16.9 IPS |
|
Pose Estimation (HP)
|
100% |
14903
17.4 IPS |
|
Pose Estimation (Q)
|
98% |
58479
68.5 IPS |
|
Object Detection (SP)
|
100% |
5193
412.0 IPS |
|
Object Detection (HP)
|
100% |
5377
426.5 IPS |
|
Object Detection (Q)
|
88% |
13620
1.09 KIPS |
|
Face Detection (SP)
|
100% |
13087
155.5 IPS |
|
Face Detection (HP)
|
100% |
10955
130.2 IPS |
|
Face Detection (Q)
|
100% |
34249
407.0 IPS |
|
Depth Estimation (SP)
|
100% |
14493
111.7 IPS |
|
Depth Estimation (HP)
|
99% |
14051
108.3 IPS |
|
Depth Estimation (Q)
|
88% |
42386
329.9 IPS |
|
Style Transfer (SP)
|
100% |
38675
49.7 IPS |
|
Style Transfer (HP)
|
100% |
38261
49.2 IPS |
|
Style Transfer (Q)
|
98% |
144164
185.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
7711
284.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
7921
292.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
21998
814.7 IPS |
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
Text Classification (HP)
|
100% |
3324
4.44 KIPS |
|
Text Classification (Q)
|
92% |
4044
5.43 KIPS |
|
Machine Translation (SP)
|
100% |
5213
89.8 IPS |
|
Machine Translation (HP)
|
100% |
4418
76.1 IPS |
|
Machine Translation (Q)
|
100% |
5684
97.9 IPS |