| User | NeilB |
| Upload Date | November 01 2024 04:22 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 | 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% |
7597
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7375
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
15586
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9993
162.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9785
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19163
310.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32853
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33529
39.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
133269
156.0 IPS |
|
|
Object Detection (SP)
|
100% |
9502
753.7 IPS |
|
|
Object Detection (HP)
|
100% |
8837
701.0 IPS |
|
|
Object Detection (Q)
|
88% |
18570
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
20276
240.9 IPS |
|
|
Face Detection (HP)
|
100% |
19682
233.9 IPS |
|
|
Face Detection (Q)
|
100% |
47507
564.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26178
201.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
26492
204.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
67719
536.7 IPS |
|
|
Style Transfer (SP)
|
100% |
86733
111.5 IPS |
|
|
Style Transfer (HP)
|
100% |
87235
112.1 IPS |
|
|
Style Transfer (Q)
|
98% |
305757
394.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15775
582.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15541
573.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39364
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5484
7.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5439
7.26 KIPS |
|
|
Text Classification (Q)
|
92% |
6174
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
7800
134.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7597
130.9 IPS |
|
|
Machine Translation (Q)
|
85% |
7504
131.2 IPS |