HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1085
Single Precision Score
541
Half Precision Score
2030
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | KMAlwafi |
| Upload Date | April 11 2025 05:38 PM |
| Views | 6 |
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% |
715
133.0 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
99% |
1415
264.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1325
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1974
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1126
1.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
3624
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
86% |
1484
119.3 IPS |
|
|
Face Detection (SP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
610
7.24 IPS |
|
|
Face Detection (Q)
|
97% |
3243
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1993
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
770
5.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
3260
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4412
5.67 IPS |
|
|
Style Transfer (HP)
|
100% |
3167
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
7526
9.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
754
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1622
60.1 IPS |
|
|
Text Classification (SP)
|
100% |
490
653.5 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.2 IPS |
|
|
Text Classification (Q)
|
97% |
780
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
65% |
1174
23.6 IPS |
