| User | MrCrispr |
| Upload Date | September 16 2024 08:31 AM |
| Views | 16 |
| 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% |
2703
502.7 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (Q)
|
99% |
6864
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2789
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4254
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
30853
36.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18183
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
87790
102.9 IPS |
|
|
Object Detection (SP)
|
100% |
3648
289.3 IPS |
|
|
Object Detection (HP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (Q)
|
88% |
3593
288.0 IPS |
|
|
Face Detection (SP)
|
100% |
5416
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
2689
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
7807
93.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14543
112.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4359
33.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
15916
127.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53891
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38546
49.6 IPS |
|
|
Style Transfer (Q)
|
98% |
55704
71.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7296
270.2 IPS |
|
|
Text Classification (SP)
|
100% |
2581
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
643
860.9 IPS |
|
|
Machine Translation (SP)
|
100% |
4377
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (Q)
|
60% |
4096
91.4 IPS |