| User | sahinkilinc |
| Upload Date | October 17 2024 02:07 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3470 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | INTEL Corporation H61 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3470 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
400
74.3 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
100% |
691
128.5 IPS |
|
|
Image Segmentation (SP)
|
29% |
43
9.02 IPS |
|
|
Image Segmentation (HP)
|
29% |
43
9.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
788
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
674
0.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
1421
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
87% |
634
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
1251
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1242
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
1968
23.5 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
9.77 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
9.78 IPS |
|
|
Depth Estimation (Q)
|
81% |
1748
13.8 IPS |
|
|
Style Transfer (SP)
|
31% |
175
2.40 IPS |
|
|
Style Transfer (HP)
|
31% |
175
2.38 IPS |
|
|
Style Transfer (Q)
|
98% |
4163
5.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
856
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.1 IPS |
|
|
Text Classification (HP)
|
100% |
684
912.9 IPS |
|
|
Text Classification (Q)
|
91% |
392
527.1 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
100% |
671
11.6 IPS |