HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1272
Single Precision Score
536
Half Precision Score
2453
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jsalhuthali |
| Upload Date | December 09 2025 01:51 AM |
| 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% |
931
173.1 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (Q)
|
99% |
1830
341.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
337
5.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
2631
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1341
1.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
5990
7.02 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
86% |
2104
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
2250
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (Q)
|
97% |
3492
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2711
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
746
5.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
4896
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4940
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3192
4.10 IPS |
|
|
Style Transfer (Q)
|
98% |
8027
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
608
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1670
61.8 IPS |
|
|
Text Classification (SP)
|
100% |
588
784.4 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.2 IPS |
|
|
Text Classification (Q)
|
97% |
755
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (Q)
|
65% |
752
15.1 IPS |
