| User | Origem |
| Upload Date | November 27 2025 12:11 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | LMDE 7 (gigi) |
| Model | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
94% |
4706
879.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
2496
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5464
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
4243
4.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
10494
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.8 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
58% |
3364
367.5 IPS |
|
|
Face Detection (SP)
|
100% |
2670
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
96% |
10890
129.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6636
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1216
9.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
9863
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13170
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11030
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
14431
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2603
96.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3424
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
684
913.0 IPS |
|
|
Text Classification (Q)
|
97% |
1815
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3077
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
68% |
4066
78.6 IPS |