| User | MrCrispr |
| Upload Date | October 12 2024 04:25 AM |
| Views | 8 |
| 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% |
7493
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7644
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
16832
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9018
146.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9104
147.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18862
305.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32872
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32894
38.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
130102
152.3 IPS |
|
|
Object Detection (SP)
|
100% |
8276
656.5 IPS |
|
|
Object Detection (HP)
|
100% |
8615
683.4 IPS |
|
|
Object Detection (Q)
|
88% |
18420
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
20141
239.3 IPS |
|
|
Face Detection (HP)
|
100% |
21468
255.1 IPS |
|
|
Face Detection (Q)
|
100% |
49949
593.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24742
190.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25304
195.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
67887
528.2 IPS |
|
|
Style Transfer (SP)
|
100% |
84906
109.1 IPS |
|
|
Style Transfer (HP)
|
100% |
84337
108.4 IPS |
|
|
Style Transfer (Q)
|
98% |
296159
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15301
565.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15058
556.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40013
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5194
6.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
92% |
6728
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
7649
131.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7571
130.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7299
125.7 IPS |