User | NeilB |
Upload Date | September 24 2024 02:42 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
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% |
6935
1.29 KIPS |
|
Image Classification (HP)
|
100% |
7309
1.36 KIPS |
|
Image Classification (Q)
|
100% |
15445
2.87 KIPS |
|
Image Segmentation (SP)
|
100% |
8884
144.0 IPS |
|
Image Segmentation (HP)
|
100% |
8871
143.8 IPS |
|
Image Segmentation (Q)
|
99% |
19369
314.0 IPS |
|
Pose Estimation (SP)
|
100% |
33287
38.8 IPS |
|
Pose Estimation (HP)
|
100% |
33655
39.3 IPS |
|
Pose Estimation (Q)
|
98% |
134916
157.9 IPS |
|
Object Detection (SP)
|
100% |
8649
686.1 IPS |
|
Object Detection (HP)
|
100% |
8209
651.2 IPS |
|
Object Detection (Q)
|
88% |
19498
1.56 KIPS |
|
Face Detection (SP)
|
100% |
21219
252.1 IPS |
|
Face Detection (HP)
|
100% |
20135
239.2 IPS |
|
Face Detection (Q)
|
100% |
51347
610.1 IPS |
|
Depth Estimation (SP)
|
100% |
25490
196.4 IPS |
|
Depth Estimation (HP)
|
100% |
26094
201.0 IPS |
|
Depth Estimation (Q)
|
80% |
68765
545.0 IPS |
|
Style Transfer (SP)
|
100% |
85986
110.5 IPS |
|
Style Transfer (HP)
|
100% |
86984
111.8 IPS |
|
Style Transfer (Q)
|
98% |
309706
399.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
15748
581.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
15501
572.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
39998
1.48 KIPS |
|
Text Classification (SP)
|
100% |
5351
7.14 KIPS |
|
Text Classification (HP)
|
100% |
5199
6.94 KIPS |
|
Text Classification (Q)
|
92% |
6191
8.32 KIPS |
|
Machine Translation (SP)
|
100% |
7581
130.6 IPS |
|
Machine Translation (HP)
|
100% |
7178
123.6 IPS |
|
Machine Translation (Q)
|
85% |
7254
126.8 IPS |