| User | MrCrispr |
| Upload Date | September 17 2024 09:46 AM |
| Views | 10 |
| 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% |
2955
549.5 IPS |
|
|
Image Classification (HP)
|
100% |
893
166.0 IPS |
|
|
Image Classification (Q)
|
99% |
6992
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2731
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4306
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
31510
36.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18235
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
89785
105.2 IPS |
|
|
Object Detection (SP)
|
100% |
3764
298.6 IPS |
|
|
Object Detection (HP)
|
100% |
1164
92.3 IPS |
|
|
Object Detection (Q)
|
88% |
3724
298.5 IPS |
|
|
Face Detection (SP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
7761
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15119
116.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4424
34.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
16354
130.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53852
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42217
54.3 IPS |
|
|
Style Transfer (Q)
|
98% |
58362
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5629
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4264
157.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7329
271.4 IPS |
|
|
Text Classification (SP)
|
100% |
2506
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
619
829.0 IPS |
|
|
Machine Translation (SP)
|
100% |
4490
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
60% |
4201
93.7 IPS |