| User | MrCrispr |
| Upload Date | September 30 2024 01:42 AM |
| Views | 12 |
| 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% |
7049
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7036
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
14981
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8570
138.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8311
134.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17292
280.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
31795
37.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32403
37.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
129968
152.2 IPS |
|
|
Object Detection (SP)
|
100% |
8373
664.1 IPS |
|
|
Object Detection (HP)
|
100% |
7948
630.5 IPS |
|
|
Object Detection (Q)
|
88% |
17933
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
17245
204.9 IPS |
|
|
Face Detection (HP)
|
100% |
19065
226.5 IPS |
|
|
Face Detection (Q)
|
100% |
50539
600.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23150
178.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23942
184.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
62666
487.6 IPS |
|
|
Style Transfer (SP)
|
100% |
82405
105.9 IPS |
|
|
Style Transfer (HP)
|
100% |
82687
106.3 IPS |
|
|
Style Transfer (Q)
|
98% |
295204
380.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14892
549.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14831
547.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39828
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5062
6.76 KIPS |
|
|
Text Classification (HP)
|
100% |
5078
6.78 KIPS |
|
|
Text Classification (Q)
|
92% |
5996
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
7080
121.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7145
123.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6958
119.9 IPS |