| User | MrCrispr |
| Upload Date | October 11 2024 01:44 AM |
| Views | 15 |
| 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% |
7541
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7329
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
15690
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8804
142.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9265
150.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17476
283.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
33408
39.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33217
38.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
130628
152.9 IPS |
|
|
Object Detection (SP)
|
100% |
9168
727.2 IPS |
|
|
Object Detection (HP)
|
100% |
8217
651.7 IPS |
|
|
Object Detection (Q)
|
88% |
18417
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
19147
227.5 IPS |
|
|
Face Detection (HP)
|
100% |
19298
229.3 IPS |
|
|
Face Detection (Q)
|
100% |
49727
590.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24794
191.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25916
199.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
70219
546.4 IPS |
|
|
Style Transfer (SP)
|
100% |
86161
110.8 IPS |
|
|
Style Transfer (HP)
|
100% |
85328
109.7 IPS |
|
|
Style Transfer (Q)
|
98% |
302182
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15023
554.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15168
560.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41300
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5448
7.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5095
6.80 KIPS |
|
|
Text Classification (Q)
|
92% |
6882
9.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
8040
138.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8058
138.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7494
129.1 IPS |