User | NeilB |
Upload Date | September 29 2024 12:50 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% |
7151
1.33 KIPS |
|
Image Classification (HP)
|
100% |
7536
1.40 KIPS |
|
Image Classification (Q)
|
100% |
15138
2.82 KIPS |
|
Image Segmentation (SP)
|
100% |
9097
147.5 IPS |
|
Image Segmentation (HP)
|
100% |
8958
145.2 IPS |
|
Image Segmentation (Q)
|
99% |
18063
292.8 IPS |
|
Pose Estimation (SP)
|
100% |
33216
38.8 IPS |
|
Pose Estimation (HP)
|
100% |
33307
38.9 IPS |
|
Pose Estimation (Q)
|
98% |
131700
154.2 IPS |
|
Object Detection (SP)
|
100% |
7678
609.0 IPS |
|
Object Detection (HP)
|
100% |
7894
626.2 IPS |
|
Object Detection (Q)
|
88% |
18198
1.46 KIPS |
|
Face Detection (SP)
|
100% |
20647
245.3 IPS |
|
Face Detection (HP)
|
100% |
19319
229.6 IPS |
|
Face Detection (Q)
|
100% |
48947
581.6 IPS |
|
Depth Estimation (SP)
|
100% |
26599
204.9 IPS |
|
Depth Estimation (HP)
|
100% |
25390
195.6 IPS |
|
Depth Estimation (Q)
|
80% |
67883
538.0 IPS |
|
Style Transfer (SP)
|
100% |
85855
110.4 IPS |
|
Style Transfer (HP)
|
100% |
85811
110.3 IPS |
|
Style Transfer (Q)
|
98% |
304689
392.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
15088
557.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
14871
549.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
39686
1.47 KIPS |
|
Text Classification (SP)
|
100% |
5114
6.83 KIPS |
|
Text Classification (HP)
|
100% |
4796
6.40 KIPS |
|
Text Classification (Q)
|
92% |
5587
7.51 KIPS |
|
Machine Translation (SP)
|
100% |
7617
131.2 IPS |
|
Machine Translation (HP)
|
100% |
7553
130.1 IPS |
|
Machine Translation (Q)
|
85% |
6810
119.0 IPS |