| User | MrCrispr |
| Upload Date | September 15 2024 11:34 AM |
| Views | 17 |
| 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% |
2531
470.7 IPS |
|
|
Image Classification (HP)
|
100% |
830
154.3 IPS |
|
|
Image Classification (Q)
|
99% |
6708
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2665
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4036
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29430
34.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14209
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
82691
96.9 IPS |
|
|
Object Detection (SP)
|
100% |
3432
272.2 IPS |
|
|
Object Detection (HP)
|
100% |
1062
84.3 IPS |
|
|
Object Detection (Q)
|
88% |
3377
270.7 IPS |
|
|
Face Detection (SP)
|
100% |
4728
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
6727
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13046
100.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4110
31.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
14093
112.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50311
64.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37699
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48754
62.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5351
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4006
147.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6927
256.5 IPS |
|
|
Text Classification (SP)
|
100% |
2504
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
579
775.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3988
89.0 IPS |