| User | MrCrispr |
| Upload Date | September 17 2024 08:21 AM |
| Views | 15 |
| 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% |
2932
545.3 IPS |
|
|
Image Classification (HP)
|
100% |
879
163.4 IPS |
|
|
Image Classification (Q)
|
99% |
6835
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4262
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
31108
36.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19300
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
87124
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
3737
296.4 IPS |
|
|
Object Detection (HP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (Q)
|
88% |
3728
298.8 IPS |
|
|
Face Detection (SP)
|
100% |
5501
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
2736
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
7582
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15247
117.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4412
34.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
16256
130.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53605
68.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40676
52.3 IPS |
|
|
Style Transfer (Q)
|
98% |
58262
75.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5542
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4258
157.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7301
270.3 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
644
863.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
60% |
4306
96.0 IPS |