| User | MrCrispr |
| Upload Date | September 25 2024 04:50 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% |
7840
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7021
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
16891
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8879
143.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8984
145.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18881
306.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32353
37.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32406
37.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
129068
151.1 IPS |
|
|
Object Detection (SP)
|
100% |
8863
703.0 IPS |
|
|
Object Detection (HP)
|
100% |
8299
658.3 IPS |
|
|
Object Detection (Q)
|
88% |
18363
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
21417
254.5 IPS |
|
|
Face Detection (HP)
|
100% |
20837
247.6 IPS |
|
|
Face Detection (Q)
|
100% |
49845
592.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24748
190.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26089
201.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
67431
524.7 IPS |
|
|
Style Transfer (SP)
|
100% |
84882
109.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85803
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
298130
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15688
579.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15335
566.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40318
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
92% |
6264
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
7121
122.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7340
126.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7475
128.8 IPS |