HP HP Pavilion x360 2-in-1 Laptop 14-ek0xxx
Geekbench AI Score
1739
Single Precision Score
727
Half Precision Score
3442
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | remas |
| Upload Date | December 02 2025 06:41 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion x360 2-in-1 Laptop 14-ek0xxx |
| Motherboard | HP 8A34 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| 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% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.9 IPS |
|
|
Image Classification (Q)
|
99% |
2912
543.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
3939
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2830
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1695
1.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
7268
8.52 IPS |
|
|
Object Detection (SP)
|
100% |
1180
93.6 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
86% |
2373
190.7 IPS |
|
|
Face Detection (SP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4678
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3387
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
959
7.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
6061
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5694
7.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3778
4.86 IPS |
|
|
Style Transfer (Q)
|
98% |
9843
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2413
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
383
511.6 IPS |
|
|
Text Classification (Q)
|
97% |
1066
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
65% |
1648
33.1 IPS |
