| User | MrCrispr |
| Upload Date | September 25 2024 07:41 AM |
| Views | 18 |
| 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% |
7104
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7135
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
16345
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8805
142.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8384
135.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17825
289.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
33417
39.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32505
37.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
130111
152.3 IPS |
|
|
Object Detection (SP)
|
100% |
8865
703.2 IPS |
|
|
Object Detection (HP)
|
100% |
8771
695.7 IPS |
|
|
Object Detection (Q)
|
88% |
19448
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
18648
221.6 IPS |
|
|
Face Detection (HP)
|
100% |
19497
231.7 IPS |
|
|
Face Detection (Q)
|
100% |
48077
571.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25193
194.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26699
205.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
66348
516.2 IPS |
|
|
Style Transfer (SP)
|
100% |
85459
109.9 IPS |
|
|
Style Transfer (HP)
|
100% |
85996
110.5 IPS |
|
|
Style Transfer (Q)
|
98% |
303341
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15289
564.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15265
563.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41016
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5132
6.85 KIPS |
|
|
Text Classification (Q)
|
92% |
6436
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
8083
139.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8057
138.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7983
137.5 IPS |