| User | Hege |
| Upload Date | February 14 2025 08:33 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E PG Riptide WiFi |
| Motherboard | ASRock B650E PG Riptide WiFi |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores |
| 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% |
4128
767.8 IPS |
|
|
Image Classification (HP)
|
100% |
758
141.0 IPS |
|
|
Image Classification (Q)
|
99% |
8713
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3821
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8029
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
6665
7.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
27930
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
3926
311.4 IPS |
|
|
Object Detection (HP)
|
100% |
989
78.4 IPS |
|
|
Object Detection (Q)
|
86% |
8961
720.2 IPS |
|
|
Face Detection (SP)
|
100% |
9411
111.8 IPS |
|
|
Face Detection (HP)
|
100% |
2171
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
11820
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10609
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2978
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19739
157.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20210
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16117
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31952
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3506
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3012
111.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4474
165.6 IPS |
|
|
Text Classification (SP)
|
100% |
2013
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1961
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4039
81.2 IPS |