HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1261
Single Precision Score
511
Half Precision Score
2275
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AAalbrakati |
| Upload Date | April 11 2025 01:01 PM |
| Views | 5 |
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% |
949
176.5 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
99% |
1779
331.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1180
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1271
1.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
5870
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
959
76.0 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
86% |
1920
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
587
6.98 IPS |
|
|
Face Detection (Q)
|
97% |
3449
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2612
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
702
5.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
4509
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4811
6.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3011
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
7810
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
857
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1566
58.0 IPS |
|
|
Text Classification (SP)
|
100% |
577
769.9 IPS |
|
|
Text Classification (HP)
|
100% |
285
379.9 IPS |
|
|
Text Classification (Q)
|
97% |
740
990.8 IPS |
|
|
Machine Translation (SP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
65% |
1117
22.5 IPS |
