| User | Akshat_Pal |
| Upload Date | December 08 2025 05:15 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.1 IPS |
|
|
Image Classification (Q)
|
100% |
4146
771.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4361
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2303
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2287
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
13433
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.8 IPS |
|
|
Object Detection (Q)
|
88% |
4994
400.4 IPS |
|
|
Face Detection (SP)
|
100% |
6008
71.4 IPS |
|
|
Face Detection (HP)
|
100% |
5837
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
7311
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5423
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1916
14.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
7762
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5677
7.30 IPS |
|
|
Style Transfer (HP)
|
100% |
5823
7.49 IPS |
|
|
Style Transfer (Q)
|
98% |
35776
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6687
247.6 IPS |
|
|
Text Classification (SP)
|
100% |
535
713.6 IPS |
|
|
Text Classification (HP)
|
100% |
527
703.1 IPS |
|
|
Text Classification (Q)
|
92% |
1822
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1010
17.4 IPS |