| User | MrCrispr |
| Upload Date | September 15 2024 10:59 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% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
764
142.2 IPS |
|
|
Image Classification (Q)
|
99% |
6165
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3821
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27074
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14973
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
71834
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
2884
228.8 IPS |
|
|
Object Detection (HP)
|
100% |
1007
79.8 IPS |
|
|
Object Detection (Q)
|
88% |
2831
226.9 IPS |
|
|
Face Detection (SP)
|
100% |
3892
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
2225
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
5907
70.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10983
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3817
29.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12235
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42297
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34778
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39934
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4652
171.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3460
127.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6357
235.4 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
592
792.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3611
80.6 IPS |