| User | MrCrispr |
| Upload Date | September 16 2024 07:33 AM |
| Views | 11 |
| 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% |
2880
535.7 IPS |
|
|
Image Classification (HP)
|
100% |
881
163.8 IPS |
|
|
Image Classification (Q)
|
99% |
7164
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4166
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30303
35.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18457
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
87232
102.2 IPS |
|
|
Object Detection (SP)
|
100% |
3690
292.7 IPS |
|
|
Object Detection (HP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (Q)
|
88% |
3657
293.1 IPS |
|
|
Face Detection (SP)
|
100% |
5203
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
7690
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14691
113.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4386
33.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
15870
127.0 IPS |
|
|
Style Transfer (SP)
|
100% |
52881
68.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40244
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
57123
73.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5518
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4087
150.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7163
265.3 IPS |
|
|
Text Classification (SP)
|
100% |
2556
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
620
830.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (Q)
|
60% |
4198
93.6 IPS |