HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1746
Single Precision Score
738
Half Precision Score
3313
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AAalbrakati |
| Upload Date | April 11 2025 03:04 PM |
| Views | 8 |
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% |
1564
290.8 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (Q)
|
99% |
3127
583.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1917
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2656
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1696
1.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
7697
9.02 IPS |
|
|
Object Detection (SP)
|
100% |
1259
99.9 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.1 IPS |
|
|
Object Detection (Q)
|
86% |
2668
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
854
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
4622
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3260
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1003
7.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
6546
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5989
7.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3921
5.04 IPS |
|
|
Style Transfer (Q)
|
98% |
9698
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2073
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
407
543.7 IPS |
|
|
Text Classification (Q)
|
97% |
1137
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
65% |
1874
37.7 IPS |
