| Upload Date | October 23 2025 04:33 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 8 G1i 14 inch Notebook AI PC |
| Motherboard | HP 8D89 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
1624
302.1 IPS |
|
|
Image Classification (Q)
|
100% |
5033
935.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4806
77.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4004
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3253
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
12024
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
100% |
1636
129.8 IPS |
|
|
Object Detection (Q)
|
88% |
4740
379.9 IPS |
|
|
Face Detection (SP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
3947
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
9504
112.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4257
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4003
30.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
8878
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9095
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8984
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
40096
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2108
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2003
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7552
279.7 IPS |
|
|
Text Classification (SP)
|
100% |
1941
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
3501
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2299
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1891
32.6 IPS |