HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1346
Single Precision Score
1405
Half Precision Score
2713
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ansharif |
| Upload Date | April 15 2026 07:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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 |
| Power Plan | Balanced |
| 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% |
559
103.9 IPS |
|
|
Image Classification (HP)
|
100% |
659
122.6 IPS |
|
|
Image Classification (Q)
|
100% |
1431
266.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1987
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2274
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2253
2.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
6415
7.51 IPS |
|
|
Object Detection (SP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (HP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (Q)
|
88% |
1421
113.9 IPS |
|
|
Face Detection (SP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (Q)
|
100% |
4164
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2420
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2419
18.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
4458
34.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6469
8.32 IPS |
|
|
Style Transfer (HP)
|
100% |
6443
8.28 IPS |
|
|
Style Transfer (Q)
|
98% |
17039
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2437
90.2 IPS |
|
|
Text Classification (SP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (Q)
|
92% |
1365
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
100% |
795
13.7 IPS |
