| User | MrCrispr |
| Upload Date | October 12 2024 12:56 AM |
| Views | 9 |
| 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% |
7519
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
6971
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
16126
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8823
143.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9482
153.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19117
309.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32827
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32775
38.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
129272
151.3 IPS |
|
|
Object Detection (SP)
|
100% |
8957
710.5 IPS |
|
|
Object Detection (HP)
|
100% |
8634
684.9 IPS |
|
|
Object Detection (Q)
|
88% |
19004
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
21764
258.6 IPS |
|
|
Face Detection (HP)
|
100% |
21556
256.1 IPS |
|
|
Face Detection (Q)
|
100% |
49283
585.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24783
190.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24408
188.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
65364
508.6 IPS |
|
|
Style Transfer (SP)
|
100% |
83824
107.8 IPS |
|
|
Style Transfer (HP)
|
100% |
84113
108.1 IPS |
|
|
Style Transfer (Q)
|
98% |
297630
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15316
565.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14712
543.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40446
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
5345
7.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
92% |
6193
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
7534
129.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7635
131.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7285
125.5 IPS |