| User | DieZweiEinen |
| Upload Date | August 18 2024 01:55 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | AB350 Gaming K4 |
| Motherboard | ASRock AB350 Gaming K4 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.5 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (Q)
|
97% |
2610
487.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
1586
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2714
3.17 IPS |
|
|
Pose Estimation (Q)
|
87% |
7805
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (Q)
|
86% |
1561
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.39 IPS |
|
|
Face Detection (Q)
|
96% |
3377
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3864
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
830
6.40 IPS |
|
|
Depth Estimation (Q)
|
76% |
4826
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8248
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6903
8.87 IPS |
|
|
Style Transfer (Q)
|
87% |
11850
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2566
95.1 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
646
862.4 IPS |
|
|
Text Classification (Q)
|
97% |
400
536.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1971
44.0 IPS |