HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
977
Single Precision Score
393
Half Precision Score
1385
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rnahmed |
| Upload Date | March 23 2025 07:12 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1335U |
| 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 i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (HP)
|
100% |
150
27.9 IPS |
|
|
Image Classification (Q)
|
99% |
1307
243.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
706
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1502
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
997
1.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
4084
4.79 IPS |
|
|
Object Detection (SP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
86% |
1205
96.8 IPS |
|
|
Face Detection (SP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
460
5.46 IPS |
|
|
Face Detection (Q)
|
97% |
2231
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2004
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
566
4.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
3531
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3737
4.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2472
3.18 IPS |
|
|
Style Transfer (Q)
|
98% |
6149
7.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
994
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.1 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.6 IPS |
|
|
Text Classification (Q)
|
97% |
142
190.1 IPS |
|
|
Machine Translation (SP)
|
100% |
636
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (Q)
|
65% |
839
16.9 IPS |
