HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1591
Single Precision Score
673
Half Precision Score
3243
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | LaAl-shahri |
| Upload Date | October 12 2025 09:54 PM |
| Views | 8 |
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% |
1235
229.7 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.3 IPS |
|
|
Image Classification (Q)
|
99% |
2549
475.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
3345
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2397
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1605
1.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
7383
8.66 IPS |
|
|
Object Detection (SP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
86% |
2490
200.1 IPS |
|
|
Face Detection (SP)
|
100% |
2824
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
783
9.31 IPS |
|
|
Face Detection (Q)
|
97% |
4435
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3241
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
955
7.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
6283
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5702
7.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3593
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
9550
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2458
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
358
478.5 IPS |
|
|
Text Classification (Q)
|
97% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (Q)
|
65% |
1580
31.8 IPS |
