| User | kripo |
| Upload Date | March 06 2025 05:57 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (Q)
|
100% |
2616
486.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3253
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5679
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
5620
6.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
6946
8.15 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (HP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (Q)
|
87% |
2768
222.0 IPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3734
44.4 IPS |
|
|
Face Detection (Q)
|
97% |
8872
105.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5414
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5128
39.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
7523
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16065
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15991
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19995
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3248
119.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3193
117.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3966
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (Q)
|
91% |
626
841.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2119
36.5 IPS |