| User | MrCrispr |
| Upload Date | September 15 2024 01:34 PM |
| Views | 9 |
| 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 | 5.42 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2794
519.7 IPS |
|
|
Image Classification (HP)
|
100% |
839
156.0 IPS |
|
|
Image Classification (Q)
|
99% |
6590
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2759
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4173
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
30683
35.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16728
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
80513
94.4 IPS |
|
|
Object Detection (SP)
|
100% |
3556
282.0 IPS |
|
|
Object Detection (HP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (Q)
|
88% |
3502
280.7 IPS |
|
|
Face Detection (SP)
|
100% |
5192
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
7449
88.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14634
112.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4253
32.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14986
119.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51492
66.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38340
49.3 IPS |
|
|
Style Transfer (Q)
|
98% |
53514
69.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5350
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3896
143.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6944
257.1 IPS |
|
|
Text Classification (SP)
|
100% |
2503
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
598
800.7 IPS |
|
|
Machine Translation (SP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3928
87.6 IPS |