HP HP Pavilion x360 2-in-1 Laptop 14-ek0xxx
Geekbench AI Score
1359
Single Precision Score
562
Half Precision Score
2525
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Mashael_12345 |
| Upload Date | April 10 2025 05:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion x360 2-in-1 Laptop 14-ek0xxx |
| Motherboard | HP 8A34 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| 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% |
1088
202.3 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (Q)
|
99% |
2132
397.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1484
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2044
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1392
1.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
6050
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.8 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
86% |
2198
176.6 IPS |
|
|
Face Detection (SP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
661
7.85 IPS |
|
|
Face Detection (Q)
|
97% |
3494
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2660
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
797
6.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
5233
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4776
6.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3354
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
8374
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
662
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1611
59.7 IPS |
|
|
Text Classification (SP)
|
100% |
624
833.0 IPS |
|
|
Text Classification (HP)
|
100% |
308
411.4 IPS |
|
|
Text Classification (Q)
|
97% |
794
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (Q)
|
65% |
1280
25.7 IPS |
