| User | MrCrispr |
| Upload Date | October 05 2024 06:07 AM |
| Views | 10 |
| 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% |
7154
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7235
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
15783
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8646
140.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9456
153.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19387
314.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32684
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32406
37.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
130649
153.0 IPS |
|
|
Object Detection (SP)
|
100% |
8899
705.9 IPS |
|
|
Object Detection (HP)
|
100% |
8774
695.9 IPS |
|
|
Object Detection (Q)
|
88% |
18855
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
21673
257.5 IPS |
|
|
Face Detection (HP)
|
100% |
20232
240.4 IPS |
|
|
Face Detection (Q)
|
100% |
52200
620.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25047
193.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23844
183.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67567
525.7 IPS |
|
|
Style Transfer (SP)
|
100% |
85125
109.4 IPS |
|
|
Style Transfer (HP)
|
100% |
86063
110.6 IPS |
|
|
Style Transfer (Q)
|
98% |
297818
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15225
562.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15280
564.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40686
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5508
7.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5412
7.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6129
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
7547
130.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7345
126.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7125
122.7 IPS |