HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1553
Single Precision Score
657
Half Precision Score
3129
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gaAlhazmii |
| Upload Date | October 22 2025 04:57 PM |
| Views | 4 |
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 |
| 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% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
99% |
2451
457.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
3311
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2476
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1490
1.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
7422
8.70 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
86% |
2561
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
97% |
4203
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3288
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
940
7.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
6091
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5913
7.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3531
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
8827
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
730
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2111
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
359
479.2 IPS |
|
|
Text Classification (Q)
|
97% |
891
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.95 IPS |
|
|
Machine Translation (Q)
|
65% |
1374
27.6 IPS |
