HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1243
Single Precision Score
552
Half Precision Score
2447
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 01:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx |
| Motherboard | HP 8BF6 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1003
186.6 IPS |
|
|
Image Classification (HP)
|
100% |
256
47.6 IPS |
|
|
Image Classification (Q)
|
99% |
2948
549.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
3057
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1594
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1185
1.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
6484
7.60 IPS |
|
|
Object Detection (SP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
86% |
2051
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
748
8.88 IPS |
|
|
Face Detection (Q)
|
97% |
2978
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2838
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
800
6.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
2518
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3958
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2733
3.51 IPS |
|
|
Style Transfer (Q)
|
98% |
8467
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
901
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1164
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
478
638.6 IPS |
|
|
Text Classification (HP)
|
100% |
211
282.2 IPS |
|
|
Text Classification (Q)
|
97% |
716
959.6 IPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (Q)
|
65% |
1218
24.5 IPS |
