User | domdtxdissar |
Upload Date | April 14 2025 08:31 AM |
Views | 1 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X3D 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 9950X3D 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% |
7541
1.40 KIPS |
|
Image Classification (HP)
|
100% |
7773
1.45 KIPS |
|
Image Classification (Q)
|
100% |
19048
3.54 KIPS |
|
Image Segmentation (SP)
|
100% |
10998
178.3 IPS |
|
Image Segmentation (HP)
|
100% |
10447
169.4 IPS |
|
Image Segmentation (Q)
|
99% |
28864
467.9 IPS |
|
Pose Estimation (SP)
|
100% |
35657
41.6 IPS |
|
Pose Estimation (HP)
|
100% |
35992
42.0 IPS |
|
Pose Estimation (Q)
|
98% |
137027
160.4 IPS |
|
Object Detection (SP)
|
100% |
9980
791.6 IPS |
|
Object Detection (HP)
|
100% |
9488
752.6 IPS |
|
Object Detection (Q)
|
88% |
22342
1.79 KIPS |
|
Face Detection (SP)
|
100% |
20178
239.8 IPS |
|
Face Detection (HP)
|
100% |
20791
247.0 IPS |
|
Face Detection (Q)
|
100% |
57885
687.8 IPS |
|
Depth Estimation (SP)
|
100% |
28553
220.0 IPS |
|
Depth Estimation (HP)
|
99% |
27724
213.6 IPS |
|
Depth Estimation (Q)
|
88% |
77734
605.0 IPS |
|
Style Transfer (SP)
|
100% |
88929
114.3 IPS |
|
Style Transfer (HP)
|
100% |
89021
114.4 IPS |
|
Style Transfer (Q)
|
98% |
313965
404.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
15831
584.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
16698
616.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
42077
1.56 KIPS |
|
Text Classification (SP)
|
100% |
5520
7.37 KIPS |
|
Text Classification (HP)
|
100% |
5300
7.07 KIPS |
|
Text Classification (Q)
|
92% |
6071
8.16 KIPS |
|
Machine Translation (SP)
|
100% |
9553
164.6 IPS |
|
Machine Translation (HP)
|
100% |
9669
166.6 IPS |
|
Machine Translation (Q)
|
100% |
10466
180.3 IPS |