| User | MrCrispr |
| Upload Date | September 20 2024 09:48 AM |
| Views | 26 |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7942
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
7582
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
15352
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9386
152.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9259
150.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18376
297.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
31986
37.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32114
37.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
128069
149.9 IPS |
|
|
Object Detection (SP)
|
100% |
8678
688.3 IPS |
|
|
Object Detection (HP)
|
100% |
8627
684.3 IPS |
|
|
Object Detection (Q)
|
88% |
19090
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
18555
220.5 IPS |
|
|
Face Detection (HP)
|
100% |
18204
216.3 IPS |
|
|
Face Detection (Q)
|
100% |
50970
605.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26813
206.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26382
203.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
71230
554.2 IPS |
|
|
Style Transfer (SP)
|
100% |
83275
107.1 IPS |
|
|
Style Transfer (HP)
|
100% |
83303
107.1 IPS |
|
|
Style Transfer (Q)
|
98% |
294670
380.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14814
547.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15189
560.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39756
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5232
6.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5254
7.01 KIPS |
|
|
Text Classification (Q)
|
92% |
6229
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7493
129.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7634
131.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7132
122.8 IPS |