| User | lmeyler |
| Upload Date | February 06 2025 11:28 AM |
| Views | 36 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8565U CPU @ 1.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 17Z990-R.AAS8U1 |
| Motherboard | LG Electronics 17Z990 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8565U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
953
177.2 IPS |
|
|
Image Classification (HP)
|
100% |
967
179.8 IPS |
|
|
Image Classification (Q)
|
100% |
1470
273.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1589
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1681
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1559
1.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
2968
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
801
63.6 IPS |
|
|
Object Detection (HP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (Q)
|
87% |
1361
109.1 IPS |
|
|
Face Detection (SP)
|
100% |
1955
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
2001
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
3540
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2129
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2116
16.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
3613
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4550
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
4630
5.95 IPS |
|
|
Style Transfer (Q)
|
98% |
8667
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1830
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1107
1.48 KIPS |
|
|
Text Classification (Q)
|
91% |
801
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1453
25.0 IPS |