| User | datamushroom |
| Upload Date | August 14 2025 07:53 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11850H @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision 7560 |
| Motherboard | Dell Inc. 0G01WF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3500
650.9 IPS |
|
|
Image Classification (HP)
|
100% |
3500
650.9 IPS |
|
|
Image Classification (Q)
|
100% |
9060
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4289
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4249
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9812
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6052
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6232
7.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
25133
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
3119
247.4 IPS |
|
|
Object Detection (HP)
|
100% |
3201
253.9 IPS |
|
|
Object Detection (Q)
|
88% |
9502
761.7 IPS |
|
|
Face Detection (SP)
|
100% |
7387
87.8 IPS |
|
|
Face Detection (HP)
|
100% |
7373
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
24812
294.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8215
63.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
24873
193.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17486
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17601
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
67879
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4026
148.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13025
482.4 IPS |
|
|
Text Classification (SP)
|
100% |
3115
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3139
4.19 KIPS |
|
|
Text Classification (Q)
|
92% |
4295
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5007
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5050
87.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5004
86.2 IPS |