| User | smalzubadi |
| Upload Date | April 19 2026 12:16 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS PRO AC |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO AC |
| Power Plan | High performance |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1679
312.3 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.9 IPS |
|
|
Image Classification (Q)
|
96% |
3425
639.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2458
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3151
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2794
3.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
7898
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
58% |
2236
244.4 IPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
96% |
6223
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4156
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1655
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7642
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8126
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6990
8.99 IPS |
|
|
Style Transfer (Q)
|
87% |
9901
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3400
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
417
558.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2827
54.6 IPS |