| User | noderaser |
| Upload Date | December 12 2024 06:34 AM |
| Views | 31 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 81Q6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1732
322.2 IPS |
|
|
Image Classification (HP)
|
100% |
1775
330.1 IPS |
|
|
Image Classification (Q)
|
100% |
2586
480.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3077
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3520
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3556
4.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
6792
7.97 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (Q)
|
87% |
2596
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (Q)
|
97% |
7076
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4602
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4591
35.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
7351
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10336
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10500
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19257
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2076
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3899
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (Q)
|
91% |
931
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2434
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2365
40.7 IPS |