| User | MrCrispr |
| Upload Date | October 11 2024 01:34 AM |
| Views | 17 |
| 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% |
7148
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
6719
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
14212
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8230
133.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8741
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17623
285.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32362
37.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
29202
34.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
127323
149.1 IPS |
|
|
Object Detection (SP)
|
100% |
8698
690.0 IPS |
|
|
Object Detection (HP)
|
100% |
8775
696.0 IPS |
|
|
Object Detection (Q)
|
88% |
18348
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
16924
201.1 IPS |
|
|
Face Detection (HP)
|
100% |
17103
203.2 IPS |
|
|
Face Detection (Q)
|
100% |
45470
540.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24359
187.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24642
189.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
63445
493.7 IPS |
|
|
Style Transfer (SP)
|
100% |
83345
107.1 IPS |
|
|
Style Transfer (HP)
|
100% |
74919
96.3 IPS |
|
|
Style Transfer (Q)
|
98% |
262972
339.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13810
510.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14888
549.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39351
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5223
6.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5107
6.82 KIPS |
|
|
Text Classification (Q)
|
92% |
5959
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
7703
132.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7765
133.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7517
129.5 IPS |