HP HP Pavilion x360 2-in-1 Laptop 14-ek1xxx
Geekbench AI Score
1426
Single Precision Score
576
Half Precision Score
2564
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 09:21 AM |
| Views | 17 |
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% |
1129
209.9 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
99% |
1989
370.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1549
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1332
1.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
6865
8.05 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
86% |
2310
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
2402
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (Q)
|
97% |
4150
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3074
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
5491
43.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5073
6.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3335
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
8493
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1402
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
712
949.7 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.8 IPS |
|
|
Text Classification (Q)
|
97% |
872
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
65% |
1063
21.4 IPS |
