| User | MrCrispr |
| Upload Date | September 29 2024 04:11 AM |
| Views | 18 |
| 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% |
7477
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7106
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
16104
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8649
140.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9592
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17495
283.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
33234
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33338
38.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
132590
155.2 IPS |
|
|
Object Detection (SP)
|
100% |
9075
719.9 IPS |
|
|
Object Detection (HP)
|
100% |
8654
686.5 IPS |
|
|
Object Detection (Q)
|
88% |
17995
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
20756
246.6 IPS |
|
|
Face Detection (HP)
|
100% |
17737
210.8 IPS |
|
|
Face Detection (Q)
|
100% |
46630
554.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25760
198.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26347
203.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
66113
514.4 IPS |
|
|
Style Transfer (SP)
|
100% |
87581
112.6 IPS |
|
|
Style Transfer (HP)
|
100% |
86878
111.7 IPS |
|
|
Style Transfer (Q)
|
98% |
305496
393.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15659
578.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15733
581.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39804
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5261
7.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5406
7.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6112
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
8061
138.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8096
139.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7767
133.8 IPS |