| User | MrCrispr |
| Upload Date | September 30 2024 05:21 AM |
| Views | 11 |
| 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% |
6914
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7342
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
15917
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8621
139.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8706
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17532
284.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32868
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32385
37.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
130047
152.2 IPS |
|
|
Object Detection (SP)
|
100% |
8398
666.2 IPS |
|
|
Object Detection (HP)
|
100% |
8159
647.2 IPS |
|
|
Object Detection (Q)
|
88% |
18893
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
18879
224.3 IPS |
|
|
Face Detection (HP)
|
100% |
17995
213.8 IPS |
|
|
Face Detection (Q)
|
100% |
50059
594.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25219
194.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27175
209.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
68627
534.0 IPS |
|
|
Style Transfer (SP)
|
100% |
85219
109.6 IPS |
|
|
Style Transfer (HP)
|
100% |
84202
108.2 IPS |
|
|
Style Transfer (Q)
|
98% |
298719
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14889
549.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15310
565.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40074
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5316
7.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5419
7.23 KIPS |
|
|
Text Classification (Q)
|
92% |
6213
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
8072
139.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7922
136.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7454
128.4 IPS |