| User | Raznep |
| Upload Date | August 20 2024 06:59 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LTD Delovoy Office P2315 |
| Motherboard | IRU P231 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
786
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
1201
223.4 IPS |
|
|
Image Classification (Q)
|
100% |
1105
205.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1531
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1926
2.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
2062
2.41 IPS |
|
|
Pose Estimation (Q)
|
97% |
2718
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
768
61.0 IPS |
|
|
Object Detection (HP)
|
99% |
1245
99.1 IPS |
|
|
Object Detection (Q)
|
88% |
1165
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (Q)
|
97% |
3025
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2369
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4047
31.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
3592
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5403
6.95 IPS |
|
|
Style Transfer (HP)
|
100% |
7476
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
6641
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1751
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1670
61.8 IPS |
|
|
Text Classification (SP)
|
71% |
539
779.4 IPS |
|
|
Text Classification (HP)
|
71% |
606
877.3 IPS |
|
|
Text Classification (Q)
|
92% |
478
641.6 IPS |
|
|
Machine Translation (SP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (HP)
|
97% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
90% |
778
13.5 IPS |