| User | audigy |
| Upload Date | August 15 2024 05:22 PM |
| Views | 17 |
| 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 | High performance |
| 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 | 5.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6474
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6646
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
15061
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8113
131.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7823
126.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15258
247.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28466
33.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
28744
33.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
112713
132.0 IPS |
|
|
Object Detection (SP)
|
100% |
7608
603.5 IPS |
|
|
Object Detection (HP)
|
100% |
7424
588.9 IPS |
|
|
Object Detection (Q)
|
88% |
16616
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
18909
224.7 IPS |
|
|
Face Detection (HP)
|
100% |
16204
192.5 IPS |
|
|
Face Detection (Q)
|
100% |
39660
471.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22600
174.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
22797
175.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
59890
474.6 IPS |
|
|
Style Transfer (SP)
|
100% |
70156
90.2 IPS |
|
|
Style Transfer (HP)
|
100% |
70020
90.0 IPS |
|
|
Style Transfer (Q)
|
98% |
254954
328.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12392
457.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12776
471.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36125
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4846
6.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4601
6.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5683
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6218
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6274
108.1 IPS |
|
|
Machine Translation (Q)
|
85% |
6240
109.1 IPS |