| User | MrCrispr |
| Upload Date | October 19 2024 09:35 AM |
| Views | 10 |
| 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% |
7483
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7044
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
16462
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9896
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9007
146.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18768
304.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33215
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33285
38.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
131371
153.8 IPS |
|
|
Object Detection (SP)
|
100% |
8520
675.8 IPS |
|
|
Object Detection (HP)
|
100% |
9406
746.1 IPS |
|
|
Object Detection (Q)
|
88% |
19068
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
19823
235.5 IPS |
|
|
Face Detection (HP)
|
100% |
24528
291.4 IPS |
|
|
Face Detection (Q)
|
100% |
49041
582.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26230
202.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26141
201.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67714
526.9 IPS |
|
|
Style Transfer (SP)
|
100% |
85986
110.5 IPS |
|
|
Style Transfer (HP)
|
100% |
85766
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
304895
393.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15306
565.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15479
571.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41871
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5357
7.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5419
7.23 KIPS |
|
|
Text Classification (Q)
|
92% |
6273
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
7700
132.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7612
131.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7314
126.0 IPS |