| User | 98Fengyu |
| Upload Date | March 26 2026 09:49 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (Q)
|
96% |
3172
592.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
3852
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3109
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2742
3.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
7910
9.35 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
574
45.6 IPS |
|
|
Object Detection (Q)
|
58% |
2503
273.5 IPS |
|
|
Face Detection (SP)
|
100% |
3867
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
1199
14.2 IPS |
|
|
Face Detection (Q)
|
96% |
6361
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4753
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1727
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7959
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8707
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7292
9.37 IPS |
|
|
Style Transfer (Q)
|
87% |
13957
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3048
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
614
819.3 IPS |
|
|
Text Classification (Q)
|
97% |
1197
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2460
47.5 IPS |