| User | MrCrispr |
| Upload Date | September 25 2024 06:34 AM |
| Views | 14 |
| 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% |
7342
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
16386
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9586
155.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8829
143.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19376
314.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
33016
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32951
38.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
131564
154.0 IPS |
|
|
Object Detection (SP)
|
100% |
8215
651.6 IPS |
|
|
Object Detection (HP)
|
100% |
8610
682.9 IPS |
|
|
Object Detection (Q)
|
88% |
19533
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
18848
224.0 IPS |
|
|
Face Detection (HP)
|
100% |
20521
243.8 IPS |
|
|
Face Detection (Q)
|
100% |
46952
557.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25355
195.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25656
197.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
66387
516.6 IPS |
|
|
Style Transfer (SP)
|
100% |
84565
108.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85046
109.3 IPS |
|
|
Style Transfer (Q)
|
98% |
301241
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15395
568.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15344
566.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40128
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5539
7.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5213
6.96 KIPS |
|
|
Text Classification (Q)
|
92% |
6621
8.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
7635
131.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7508
129.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7248
124.8 IPS |