HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
432
Single Precision Score
196
Half Precision Score
613
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jsalhuthali |
| Upload Date | December 03 2025 03:03 PM |
| Views | 7 |
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% |
1014
188.6 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (Q)
|
99% |
1904
355.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
2694
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2006
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1351
1.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
5699
6.68 IPS |
|
|
Object Detection (SP)
|
100% |
998
79.1 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (Q)
|
86% |
255
20.5 IPS |
|
|
Face Detection (SP)
|
100% |
565
6.72 IPS |
|
|
Face Detection (HP)
|
100% |
149
1.77 IPS |
|
|
Face Detection (Q)
|
97% |
635
7.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
604
4.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
209
1.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
474
3.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1163
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
757
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1636
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
85
3.14 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
171
6.32 IPS |
|
|
Text Classification (SP)
|
100% |
42
56.0 IPS |
|
|
Text Classification (HP)
|
100% |
25
33.4 IPS |
|
|
Text Classification (Q)
|
97% |
53
70.4 IPS |
|
|
Machine Translation (SP)
|
100% |
97
1.67 IPS |
|
|
Machine Translation (HP)
|
100% |
74
1.27 IPS |
|
|
Machine Translation (Q)
|
65% |
226
4.54 IPS |
