| User | MrCrispr |
| Upload Date | September 30 2024 04:06 AM |
| Views | 19 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2782
517.3 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
99% |
6257
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2585
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4124
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29965
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17650
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
83133
97.4 IPS |
|
|
Object Detection (SP)
|
100% |
3321
263.4 IPS |
|
|
Object Detection (HP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (Q)
|
88% |
3575
286.6 IPS |
|
|
Face Detection (SP)
|
100% |
4876
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
2514
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
6975
83.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14382
110.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4262
32.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14876
119.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51201
65.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39249
50.5 IPS |
|
|
Style Transfer (Q)
|
98% |
49976
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7008
259.5 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
633
847.6 IPS |
|
|
Machine Translation (SP)
|
100% |
4293
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3878
86.5 IPS |