| Upload Date | September 16 2025 11:37 PM |
| Views | 2 |
| 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. TUF GAMING B550M-PLUS WIFI II |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3739
695.4 IPS |
|
|
Image Classification (HP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (Q)
|
96% |
5645
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
6803
110.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5910
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
5129
5.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
12998
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
3493
277.1 IPS |
|
|
Object Detection (HP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (Q)
|
58% |
3969
433.6 IPS |
|
|
Face Detection (SP)
|
100% |
6855
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
1897
22.5 IPS |
|
|
Face Detection (Q)
|
96% |
9521
113.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7847
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2524
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12169
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15291
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12958
16.7 IPS |
|
|
Style Transfer (Q)
|
87% |
17244
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2426
89.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4831
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1630
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2979
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3616
69.9 IPS |