| User | hunter432119 |
| Upload Date | September 28 2025 12:13 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-E GAMING WIFI |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3635
676.1 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.3 IPS |
|
|
Image Classification (Q)
|
99% |
8489
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5459
88.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5924
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5286
6.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
25535
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
4003
317.6 IPS |
|
|
Object Detection (HP)
|
100% |
923
73.2 IPS |
|
|
Object Detection (Q)
|
86% |
6086
489.1 IPS |
|
|
Face Detection (SP)
|
100% |
11537
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
10609
126.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8232
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2663
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19167
152.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15118
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13144
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22388
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2905
107.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2248
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6825
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
2494
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
492
658.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3921
78.8 IPS |