HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1516
Single Precision Score
658
Half Precision Score
3067
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jsalhuthali |
| Upload Date | December 03 2025 03:32 PM |
| Views | 5 |
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% |
1490
277.2 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.8 IPS |
|
|
Image Classification (Q)
|
99% |
2943
549.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
548
8.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
3510
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2399
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1483
1.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
6635
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (HP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (Q)
|
86% |
2244
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (Q)
|
97% |
4053
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2820
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
873
6.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
5489
43.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4887
6.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3210
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
8412
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
924
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2133
79.0 IPS |
|
|
Text Classification (SP)
|
100% |
723
964.9 IPS |
|
|
Text Classification (HP)
|
100% |
334
446.3 IPS |
|
|
Text Classification (Q)
|
97% |
805
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
65% |
1492
30.0 IPS |
