HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
581
Single Precision Score
327
Half Precision Score
1100
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jsalhuthali |
| Upload Date | December 03 2025 03:01 PM |
| Views | 9 |
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% |
308
57.4 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.7 IPS |
|
|
Image Classification (Q)
|
99% |
1367
254.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
979
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1308
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1067
1.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
2787
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
945
74.9 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (Q)
|
86% |
753
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
638
7.58 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (Q)
|
97% |
2455
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2039
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
1447
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2190
2.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1791
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3140
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
735
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.4 IPS |
|
|
Text Classification (HP)
|
100% |
91
121.4 IPS |
|
|
Text Classification (Q)
|
97% |
222
297.3 IPS |
|
|
Machine Translation (SP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (HP)
|
100% |
175
3.01 IPS |
|
|
Machine Translation (Q)
|
65% |
511
10.3 IPS |
