| User | Hege |
| Upload Date | December 07 2024 09:23 AM |
| Views | 4 |
| 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, 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% |
4357
810.2 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.3 IPS |
|
|
Image Classification (Q)
|
99% |
8695
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3791
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7365
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
6336
7.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
27594
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
3827
303.6 IPS |
|
|
Object Detection (HP)
|
100% |
917
72.8 IPS |
|
|
Object Detection (Q)
|
86% |
9083
729.9 IPS |
|
|
Face Detection (SP)
|
100% |
11280
134.0 IPS |
|
|
Face Detection (HP)
|
100% |
2189
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
12213
145.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10613
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2905
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
20900
166.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18830
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14525
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33229
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3426
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4588
169.9 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1987
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4337
87.1 IPS |