| User | bagaget |
| Upload Date | May 30 2025 03:08 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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% |
7867
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7585
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
19206
3.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10279
166.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11078
179.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28999
470.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
33219
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33389
39.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
132346
154.9 IPS |
|
|
Object Detection (SP)
|
100% |
9453
749.8 IPS |
|
|
Object Detection (HP)
|
100% |
8752
694.2 IPS |
|
|
Object Detection (Q)
|
88% |
21568
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
20920
248.6 IPS |
|
|
Face Detection (HP)
|
100% |
21637
257.1 IPS |
|
|
Face Detection (Q)
|
100% |
53413
634.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27518
212.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27744
213.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
73262
570.2 IPS |
|
|
Style Transfer (SP)
|
100% |
84915
109.2 IPS |
|
|
Style Transfer (HP)
|
100% |
85630
110.1 IPS |
|
|
Style Transfer (Q)
|
98% |
301280
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14963
552.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16046
592.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40120
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5114
6.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4931
6.58 KIPS |
|
|
Text Classification (Q)
|
92% |
5848
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
9574
164.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9086
156.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9280
159.9 IPS |