| User | anupdebnath7 | 
| Upload Date | February 25 2025 05:04 PM | 
| Views | 16 | 
| 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  |