| User | Sparrrxw |
| Upload Date | March 20 2025 10:25 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M K |
| Motherboard | Gigabyte Technology Co., Ltd. B550M K |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3693
686.8 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.8 IPS |
|
|
Image Classification (Q)
|
100% |
5552
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4229
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4211
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6338
103.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6944
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
7016
8.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
14731
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
3345
265.3 IPS |
|
|
Object Detection (HP)
|
100% |
3310
262.5 IPS |
|
|
Object Detection (Q)
|
87% |
5635
451.9 IPS |
|
|
Face Detection (SP)
|
100% |
6923
82.3 IPS |
|
|
Face Detection (HP)
|
100% |
6900
82.0 IPS |
|
|
Face Detection (Q)
|
97% |
16011
190.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8238
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8263
63.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
15367
121.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20088
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20417
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41848
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4306
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8339
308.9 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (Q)
|
91% |
1299
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5233
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5299
91.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5168
89.0 IPS |