| User | Chineezze |
| Upload Date | March 24 2025 03:00 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Power 15.6 inch G8 Mobile Workstation PC |
| Motherboard | HP 888D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2493
463.6 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.4 IPS |
|
|
Image Classification (Q)
|
100% |
7209
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3354
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3337
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7514
121.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5380
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5405
6.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
20795
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
2494
197.9 IPS |
|
|
Object Detection (Q)
|
88% |
7056
565.7 IPS |
|
|
Face Detection (SP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
4902
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
18395
218.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6384
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6525
50.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
19768
153.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14424
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14457
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
56766
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3289
121.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3272
120.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10869
402.5 IPS |
|
|
Text Classification (SP)
|
100% |
2469
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2504
3.34 KIPS |
|
|
Text Classification (Q)
|
92% |
3548
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3675
63.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3605
62.1 IPS |