| User | 15a |
| Upload Date | May 27 2025 08:31 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30HA006UUS |
| Motherboard | LENOVO 1066 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2806
521.9 IPS |
|
|
Image Classification (HP)
|
100% |
2795
519.8 IPS |
|
|
Image Classification (Q)
|
100% |
8961
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4460
72.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4421
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10094
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7719
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
7799
9.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
28563
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
2740
217.4 IPS |
|
|
Object Detection (HP)
|
100% |
2717
215.5 IPS |
|
|
Object Detection (Q)
|
88% |
9516
762.8 IPS |
|
|
Face Detection (SP)
|
100% |
8966
106.5 IPS |
|
|
Face Detection (HP)
|
100% |
9559
113.6 IPS |
|
|
Face Detection (Q)
|
100% |
22505
267.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8033
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7925
61.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
23529
183.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21892
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21859
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
49717
64.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3850
142.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14861
550.4 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5049
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1843
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1639
28.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1636
28.2 IPS |