| User | MrCrispr |
| Upload Date | September 25 2024 07:03 AM |
| Views | 13 |
| 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% |
7249
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7211
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
16106
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8695
141.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8686
140.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17529
284.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32814
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32861
38.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
130310
152.6 IPS |
|
|
Object Detection (SP)
|
100% |
8417
667.7 IPS |
|
|
Object Detection (HP)
|
100% |
8582
680.8 IPS |
|
|
Object Detection (Q)
|
88% |
18840
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
19788
235.1 IPS |
|
|
Face Detection (HP)
|
100% |
19870
236.1 IPS |
|
|
Face Detection (Q)
|
100% |
49661
590.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25416
195.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25936
199.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
69257
538.9 IPS |
|
|
Style Transfer (SP)
|
100% |
84307
108.4 IPS |
|
|
Style Transfer (HP)
|
100% |
86226
110.8 IPS |
|
|
Style Transfer (Q)
|
98% |
296547
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15437
570.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15234
562.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39854
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5561
7.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
92% |
6175
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
7510
129.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7756
133.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7612
131.1 IPS |