| User | MrCrispr |
| Upload Date | September 16 2024 09:16 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% |
2834
527.0 IPS |
|
|
Image Classification (HP)
|
100% |
884
164.3 IPS |
|
|
Image Classification (Q)
|
99% |
6739
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4223
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30375
35.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18527
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
83152
97.5 IPS |
|
|
Object Detection (SP)
|
100% |
3701
293.6 IPS |
|
|
Object Detection (HP)
|
100% |
1144
90.8 IPS |
|
|
Object Detection (Q)
|
88% |
3661
293.5 IPS |
|
|
Face Detection (SP)
|
100% |
5377
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
7945
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14593
112.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4415
34.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
15657
125.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50717
65.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40373
51.9 IPS |
|
|
Style Transfer (Q)
|
98% |
57820
74.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5512
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3877
143.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7273
269.3 IPS |
|
|
Text Classification (SP)
|
100% |
2593
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
629
841.9 IPS |
|
|
Machine Translation (SP)
|
100% |
4351
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
60% |
4130
92.1 IPS |