| User | anupdebnath7 |
| Upload Date | February 25 2025 05:04 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-2120 CPU @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Pro 3340 MT |
| Motherboard | Foxconn 17A1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2120 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.2 IPS |
|
|
Image Classification (Q)
|
100% |
330
61.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
390
6.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
312
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
731
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
87% |
339
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (Q)
|
97% |
948
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
661
5.09 IPS |
|
|
Depth Estimation (Q)
|
81% |
915
7.22 IPS |
|
|
Style Transfer (SP)
|
100% |
1032
1.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1033
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
2188
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
441
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
364
486.4 IPS |
|
|
Text Classification (HP)
|
100% |
364
485.7 IPS |
|
|
Text Classification (Q)
|
91% |
224
300.8 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
100% |
334
5.75 IPS |