HP HP Pavilion x360 2-in-1 Laptop 14-ek0xxx
Geekbench AI Score
1319
Single Precision Score
526
Half Precision Score
2427
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rmalroqi |
| Upload Date | April 07 2025 08:30 AM |
| Views | 30 |
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% |
1024
190.4 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.8 IPS |
|
|
Image Classification (Q)
|
99% |
2016
376.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
1266
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2145
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1342
1.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
6219
7.29 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (Q)
|
86% |
2106
169.3 IPS |
|
|
Face Detection (SP)
|
100% |
2267
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
591
7.02 IPS |
|
|
Face Detection (Q)
|
97% |
3577
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2813
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
753
5.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
5114
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5128
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3198
4.11 IPS |
|
|
Style Transfer (Q)
|
98% |
7822
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1505
55.7 IPS |
|
|
Text Classification (SP)
|
100% |
571
762.5 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.4 IPS |
|
|
Text Classification (Q)
|
97% |
798
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (Q)
|
65% |
1237
24.9 IPS |
