| User | DDD_Xleb |
| Upload Date | March 10 2025 09:51 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650I AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650I AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5272
980.4 IPS |
|
|
Image Classification (HP)
|
100% |
5282
982.3 IPS |
|
|
Image Classification (Q)
|
100% |
12002
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5570
90.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5561
90.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13748
222.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9426
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9457
11.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
37173
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
4689
371.9 IPS |
|
|
Object Detection (HP)
|
100% |
4635
367.7 IPS |
|
|
Object Detection (Q)
|
88% |
12952
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
12253
145.6 IPS |
|
|
Face Detection (HP)
|
100% |
12143
144.3 IPS |
|
|
Face Detection (Q)
|
100% |
33781
401.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11993
92.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12092
93.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
36464
283.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25720
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26157
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96339
124.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5891
217.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18918
700.6 IPS |
|
|
Text Classification (SP)
|
100% |
4635
6.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4687
6.26 KIPS |
|
|
Text Classification (Q)
|
92% |
6432
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6564
113.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6736
116.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8018
138.1 IPS |