| User | MrCrispr |
| Upload Date | September 15 2024 09:55 AM |
| Views | 10 |
| 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% |
2721
506.1 IPS |
|
|
Image Classification (HP)
|
100% |
790
146.9 IPS |
|
|
Image Classification (Q)
|
99% |
6724
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2607
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4024
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
30819
36.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18707
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
86966
101.9 IPS |
|
|
Object Detection (SP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (HP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (Q)
|
88% |
3425
274.5 IPS |
|
|
Face Detection (SP)
|
100% |
4876
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
7453
88.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13939
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4043
31.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
15220
121.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44750
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38786
49.9 IPS |
|
|
Style Transfer (Q)
|
98% |
56720
73.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6329
234.3 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
613
821.4 IPS |
|
|
Machine Translation (SP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
60% |
4097
91.4 IPS |