| User | MrCrispr |
| Upload Date | October 06 2024 03:36 AM |
| Views | 14 |
| 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% |
7050
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7412
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
16063
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9030
146.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8864
143.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17382
281.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32933
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33122
38.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
128759
150.7 IPS |
|
|
Object Detection (SP)
|
100% |
8239
653.5 IPS |
|
|
Object Detection (HP)
|
100% |
8236
653.3 IPS |
|
|
Object Detection (Q)
|
88% |
18446
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
17159
203.9 IPS |
|
|
Face Detection (HP)
|
100% |
20424
242.7 IPS |
|
|
Face Detection (Q)
|
100% |
48538
576.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25273
194.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25652
197.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
66098
514.3 IPS |
|
|
Style Transfer (SP)
|
100% |
85454
109.9 IPS |
|
|
Style Transfer (HP)
|
100% |
85917
110.4 IPS |
|
|
Style Transfer (Q)
|
98% |
300893
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15145
559.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15073
556.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40360
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5312
7.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5222
6.97 KIPS |
|
|
Text Classification (Q)
|
92% |
6784
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
8016
138.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8048
138.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7700
132.6 IPS |