| User | MrCrispr |
| Upload Date | March 13 2025 11:40 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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% |
6487
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6627
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
14808
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8612
139.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8650
140.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17400
282.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
30825
36.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31025
36.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
126720
148.4 IPS |
|
|
Object Detection (SP)
|
100% |
8034
637.2 IPS |
|
|
Object Detection (HP)
|
100% |
7949
630.6 IPS |
|
|
Object Detection (Q)
|
88% |
18334
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
16479
195.8 IPS |
|
|
Face Detection (HP)
|
100% |
17962
213.4 IPS |
|
|
Face Detection (Q)
|
100% |
47228
561.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23833
183.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22848
176.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
62966
489.9 IPS |
|
|
Style Transfer (SP)
|
100% |
80955
104.1 IPS |
|
|
Style Transfer (HP)
|
100% |
80153
103.0 IPS |
|
|
Style Transfer (Q)
|
98% |
291535
375.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14528
536.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14782
545.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38832
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
5017
6.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4942
6.60 KIPS |
|
|
Text Classification (Q)
|
92% |
5788
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6946
119.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6735
116.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6500
112.0 IPS |