| User | RAMFlux |
| Upload Date | April 02 2026 04:20 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A AC |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2985
555.1 IPS |
|
|
Image Classification (HP)
|
100% |
633
117.7 IPS |
|
|
Image Classification (Q)
|
96% |
5310
991.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
6641
108.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5296
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4406
5.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
12036
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
791
62.7 IPS |
|
|
Object Detection (Q)
|
58% |
3688
402.9 IPS |
|
|
Face Detection (SP)
|
100% |
5846
69.5 IPS |
|
|
Face Detection (HP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (Q)
|
96% |
8968
107.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7296
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2272
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11491
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13143
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11561
14.9 IPS |
|
|
Style Transfer (Q)
|
87% |
16664
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2425
89.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4451
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
2008
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1496
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2635
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
68% |
3425
66.2 IPS |