| User | KazamiKazuki |
| Upload Date | February 04 2025 08:02 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Insider Preview (64-bit) |
| Model | LENOVO 21N5 |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
3456
642.6 IPS |
|
|
Image Classification (HP)
|
100% |
3467
644.8 IPS |
|
|
Image Classification (Q)
|
100% |
8953
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3911
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9816
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9011
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9007
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17463
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
3138
248.9 IPS |
|
|
Object Detection (HP)
|
100% |
3099
245.8 IPS |
|
|
Object Detection (Q)
|
88% |
6093
488.4 IPS |
|
|
Face Detection (SP)
|
100% |
9937
118.1 IPS |
|
|
Face Detection (HP)
|
100% |
9957
118.3 IPS |
|
|
Face Detection (Q)
|
100% |
23048
273.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9219
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9126
70.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
26784
208.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24268
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24401
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
83843
108.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4709
173.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15902
588.9 IPS |
|
|
Text Classification (SP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2461
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
5405
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2755
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2736
47.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2805
48.3 IPS |