| User | MrCrispr |
| Upload Date | September 25 2024 05:41 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% |
7149
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
6890
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
16035
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8828
143.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9416
152.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18230
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32829
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32823
38.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
129649
151.8 IPS |
|
|
Object Detection (SP)
|
100% |
8941
709.2 IPS |
|
|
Object Detection (HP)
|
100% |
8314
659.4 IPS |
|
|
Object Detection (Q)
|
88% |
19383
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
19816
235.5 IPS |
|
|
Face Detection (HP)
|
100% |
17745
210.8 IPS |
|
|
Face Detection (Q)
|
100% |
49479
587.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24735
190.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27794
214.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67303
523.7 IPS |
|
|
Style Transfer (SP)
|
100% |
84044
108.0 IPS |
|
|
Style Transfer (HP)
|
100% |
84564
108.7 IPS |
|
|
Style Transfer (Q)
|
98% |
301589
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15503
572.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15048
555.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40578
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5460
7.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5162
6.89 KIPS |
|
|
Text Classification (Q)
|
92% |
6061
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
7501
129.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7645
131.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7445
128.2 IPS |