| User | MrCrispr |
| Upload Date | September 17 2024 08:17 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2968
552.0 IPS |
|
|
Image Classification (HP)
|
100% |
899
167.2 IPS |
|
|
Image Classification (Q)
|
99% |
6798
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1539
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4210
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
30751
35.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18654
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
88336
103.5 IPS |
|
|
Object Detection (SP)
|
100% |
3760
298.3 IPS |
|
|
Object Detection (HP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (Q)
|
88% |
3728
298.8 IPS |
|
|
Face Detection (SP)
|
100% |
5352
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
7926
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14797
114.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4377
33.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
15503
124.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53768
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40542
52.1 IPS |
|
|
Style Transfer (Q)
|
98% |
57330
73.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7286
269.8 IPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
644
862.9 IPS |
|
|
Machine Translation (SP)
|
100% |
4539
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
60% |
4289
95.7 IPS |