| User | drive5600x |
| Upload Date | February 10 2025 11:55 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D52 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570S CARBON MAX WIFI (MS-7D52) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2914
542.0 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
96% |
4880
911.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2712
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8614
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6262
7.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
15883
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2998
237.8 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
58% |
3727
407.2 IPS |
|
|
Face Detection (SP)
|
100% |
6025
71.6 IPS |
|
|
Face Detection (HP)
|
100% |
1418
16.8 IPS |
|
|
Face Detection (Q)
|
96% |
8342
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8977
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2218
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12266
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18893
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15440
19.8 IPS |
|
|
Style Transfer (Q)
|
87% |
19889
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1965
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2853
105.7 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
594
793.5 IPS |
|
|
Text Classification (Q)
|
97% |
1164
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2775
53.6 IPS |