User | tungdd |
Upload Date | January 12 2025 04:43 PM |
Views | 2 |
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. ProArt X870E-CREATOR WIFI |
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 | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5749
1.07 KIPS |
|
Image Classification (HP)
|
100% |
5946
1.11 KIPS |
|
Image Classification (Q)
|
100% |
13356
2.48 KIPS |
|
Image Segmentation (SP)
|
100% |
7819
126.8 IPS |
|
Image Segmentation (HP)
|
100% |
7492
121.4 IPS |
|
Image Segmentation (Q)
|
99% |
18704
303.2 IPS |
|
Pose Estimation (SP)
|
100% |
25926
30.3 IPS |
|
Pose Estimation (HP)
|
100% |
25570
29.8 IPS |
|
Pose Estimation (Q)
|
98% |
106516
124.7 IPS |
|
Object Detection (SP)
|
100% |
6657
528.0 IPS |
|
Object Detection (HP)
|
100% |
7071
560.8 IPS |
|
Object Detection (Q)
|
88% |
14730
1.18 KIPS |
|
Face Detection (SP)
|
100% |
14440
171.6 IPS |
|
Face Detection (HP)
|
100% |
14760
175.4 IPS |
|
Face Detection (Q)
|
100% |
35957
427.3 IPS |
|
Depth Estimation (SP)
|
100% |
19877
153.1 IPS |
|
Depth Estimation (HP)
|
99% |
20463
157.7 IPS |
|
Depth Estimation (Q)
|
88% |
56384
438.7 IPS |
|
Style Transfer (SP)
|
100% |
68574
88.2 IPS |
|
Style Transfer (HP)
|
100% |
69956
89.9 IPS |
|
Style Transfer (Q)
|
98% |
243663
314.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
12717
469.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
12808
472.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
32380
1.20 KIPS |
|
Text Classification (SP)
|
100% |
4268
5.70 KIPS |
|
Text Classification (HP)
|
100% |
4269
5.70 KIPS |
|
Text Classification (Q)
|
92% |
5348
7.18 KIPS |
|
Machine Translation (SP)
|
100% |
5598
96.4 IPS |
|
Machine Translation (HP)
|
100% |
5708
98.3 IPS |
|
Machine Translation (Q)
|
100% |
5441
93.7 IPS |