| User | slava-zaxapov |
| Upload Date | March 23 2025 06:00 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B550M DS3H |
| 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% |
2685
499.3 IPS |
|
|
Image Classification (HP)
|
100% |
573
106.5 IPS |
|
|
Image Classification (Q)
|
96% |
4282
799.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2611
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4700
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3962
4.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
9587
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (Q)
|
58% |
2932
320.4 IPS |
|
|
Face Detection (SP)
|
100% |
5343
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (Q)
|
96% |
7628
91.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4676
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2134
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8345
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11975
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8393
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
14244
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2813
104.2 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
683
911.8 IPS |
|
|
Text Classification (Q)
|
97% |
1561
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
68% |
3576
69.1 IPS |