HP HP Envy x360 2-in-1 Laptop 15-fe1xxx
Geekbench AI Score
1234
Single Precision Score
4562
Half Precision Score
7198
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 22 2025 05:05 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 15-fe1xxx |
| Motherboard | HP 8C4F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
949
176.5 IPS |
|
|
Image Classification (HP)
|
100% |
2923
543.6 IPS |
|
|
Image Classification (Q)
|
100% |
3823
710.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2644
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1008
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
17259
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23867
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
2299
182.4 IPS |
|
|
Object Detection (Q)
|
89% |
4902
392.6 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
8937
106.2 IPS |
|
|
Face Detection (Q)
|
100% |
16928
201.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1635
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7890
60.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19857
154.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3543
4.55 IPS |
|
|
Style Transfer (HP)
|
100% |
32118
41.3 IPS |
|
|
Style Transfer (Q)
|
98% |
47499
61.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5962
220.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13649
505.5 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
740
988.3 IPS |
|
|
Text Classification (Q)
|
92% |
813
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1783
30.7 IPS |
