User | sandsaber |
Upload Date | June 10 2025 12:52 PM |
Views | 4 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 7950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.50 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4795
891.7 IPS |
|
Image Classification (HP)
|
100% |
4902
911.6 IPS |
|
Image Classification (Q)
|
100% |
12890
2.40 KIPS |
|
Image Segmentation (SP)
|
100% |
6883
111.6 IPS |
|
Image Segmentation (HP)
|
100% |
6829
110.7 IPS |
|
Image Segmentation (Q)
|
99% |
18709
303.3 IPS |
|
Pose Estimation (SP)
|
100% |
13959
16.3 IPS |
|
Pose Estimation (HP)
|
100% |
14138
16.5 IPS |
|
Pose Estimation (Q)
|
98% |
56455
66.1 IPS |
|
Object Detection (SP)
|
100% |
5327
422.5 IPS |
|
Object Detection (HP)
|
100% |
5407
428.9 IPS |
|
Object Detection (Q)
|
88% |
13478
1.08 KIPS |
|
Face Detection (SP)
|
100% |
13537
160.8 IPS |
|
Face Detection (HP)
|
100% |
13081
155.4 IPS |
|
Face Detection (Q)
|
100% |
33427
397.2 IPS |
|
Depth Estimation (SP)
|
100% |
13606
104.8 IPS |
|
Depth Estimation (HP)
|
99% |
13909
107.2 IPS |
|
Depth Estimation (Q)
|
88% |
42687
332.2 IPS |
|
Style Transfer (SP)
|
100% |
37038
47.6 IPS |
|
Style Transfer (HP)
|
100% |
37155
47.8 IPS |
|
Style Transfer (Q)
|
98% |
137672
177.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
7579
279.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
7721
285.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
21934
812.3 IPS |
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
Text Classification (HP)
|
100% |
3522
4.70 KIPS |
|
Text Classification (Q)
|
92% |
4172
5.60 KIPS |
|
Machine Translation (SP)
|
100% |
5588
96.3 IPS |
|
Machine Translation (HP)
|
100% |
5683
97.9 IPS |
|
Machine Translation (Q)
|
100% |
6003
103.4 IPS |