User | NeilB |
Upload Date | September 24 2024 07:26 AM |
Views | 6 |
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% |
7356
1.37 KIPS |
|
Image Classification (HP)
|
100% |
6846
1.27 KIPS |
|
Image Classification (Q)
|
100% |
15825
2.94 KIPS |
|
Image Segmentation (SP)
|
100% |
8572
139.0 IPS |
|
Image Segmentation (HP)
|
100% |
9267
150.2 IPS |
|
Image Segmentation (Q)
|
99% |
18321
297.0 IPS |
|
Pose Estimation (SP)
|
100% |
33734
39.4 IPS |
|
Pose Estimation (HP)
|
100% |
33587
39.2 IPS |
|
Pose Estimation (Q)
|
98% |
133931
156.8 IPS |
|
Object Detection (SP)
|
100% |
8977
712.1 IPS |
|
Object Detection (HP)
|
100% |
8174
648.4 IPS |
|
Object Detection (Q)
|
88% |
19948
1.60 KIPS |
|
Face Detection (SP)
|
100% |
19552
232.3 IPS |
|
Face Detection (HP)
|
100% |
19842
235.8 IPS |
|
Face Detection (Q)
|
100% |
48450
575.7 IPS |
|
Depth Estimation (SP)
|
100% |
26162
201.6 IPS |
|
Depth Estimation (HP)
|
100% |
25233
194.4 IPS |
|
Depth Estimation (Q)
|
80% |
67726
536.7 IPS |
|
Style Transfer (SP)
|
100% |
87546
112.5 IPS |
|
Style Transfer (HP)
|
100% |
87792
112.9 IPS |
|
Style Transfer (Q)
|
98% |
308009
397.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
15909
587.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
15474
571.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
39618
1.47 KIPS |
|
Text Classification (SP)
|
100% |
5399
7.21 KIPS |
|
Text Classification (HP)
|
100% |
4999
6.67 KIPS |
|
Text Classification (Q)
|
92% |
6756
9.08 KIPS |
|
Machine Translation (SP)
|
100% |
7524
129.6 IPS |
|
Machine Translation (HP)
|
100% |
7602
130.9 IPS |
|
Machine Translation (Q)
|
85% |
7270
127.1 IPS |