| Upload Date | November 09 2024 08:03 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.0 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.7 IPS |
|
|
Image Classification (Q)
|
96% |
3855
719.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2779
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7027
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
5754
6.71 IPS |
|
|
Pose Estimation (Q)
|
87% |
13003
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (Q)
|
86% |
2338
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
6136
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
2030
24.1 IPS |
|
|
Face Detection (Q)
|
96% |
5866
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2533
19.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7408
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17319
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14242
18.3 IPS |
|
|
Style Transfer (Q)
|
87% |
18765
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2987
110.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2522
93.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3402
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
726
969.1 IPS |
|
|
Text Classification (Q)
|
97% |
1475
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2867
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2567
57.3 IPS |