HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1426
Single Precision Score
648
Half Precision Score
3121
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jsalhuthali |
| Upload Date | November 18 2025 01:14 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% |
1156
215.0 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
99% |
2305
429.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
3407
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2048
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1420
1.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
6651
7.80 IPS |
|
|
Object Detection (SP)
|
100% |
1085
86.1 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
86% |
2392
192.2 IPS |
|
|
Face Detection (SP)
|
100% |
2417
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
734
8.73 IPS |
|
|
Face Detection (Q)
|
97% |
4421
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2867
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
933
7.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
5701
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5181
6.66 IPS |
|
|
Style Transfer (HP)
|
100% |
3547
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
8705
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1017
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
701
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2277
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.5 IPS |
|
|
Text Classification (HP)
|
100% |
363
483.9 IPS |
|
|
Text Classification (Q)
|
97% |
956
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
65% |
1471
29.6 IPS |
