| User | MrCrispr |
| Upload Date | September 25 2024 05:52 AM |
| Views | 19 |
| 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% |
7210
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7904
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
15618
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8857
143.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9519
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19207
311.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32964
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32895
38.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
130670
153.0 IPS |
|
|
Object Detection (SP)
|
100% |
8323
660.2 IPS |
|
|
Object Detection (HP)
|
100% |
8792
697.4 IPS |
|
|
Object Detection (Q)
|
88% |
19571
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
18573
220.7 IPS |
|
|
Face Detection (HP)
|
100% |
19436
230.9 IPS |
|
|
Face Detection (Q)
|
100% |
48483
576.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24652
189.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26715
205.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
68322
531.6 IPS |
|
|
Style Transfer (SP)
|
100% |
84795
109.0 IPS |
|
|
Style Transfer (HP)
|
100% |
84614
108.8 IPS |
|
|
Style Transfer (Q)
|
98% |
303462
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15562
574.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15548
574.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40857
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5343
7.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5425
7.24 KIPS |
|
|
Text Classification (Q)
|
92% |
6248
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
7522
129.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7720
133.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6997
120.5 IPS |