HP HP Envy x360 2-in-1 Laptop 14-fc0xxx
Geekbench AI Score
1363
Single Precision Score
5379
Half Precision Score
8263
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 08:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 14-fc0xxx |
| Motherboard | HP 8C65 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
820
152.5 IPS |
|
|
Image Classification (HP)
|
100% |
4326
804.5 IPS |
|
|
Image Classification (Q)
|
100% |
5025
934.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2421
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
21210
24.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
45536
53.3 IPS |
|
|
Object Detection (SP)
|
100% |
753
59.7 IPS |
|
|
Object Detection (HP)
|
100% |
3122
247.6 IPS |
|
|
Object Detection (Q)
|
89% |
5383
431.1 IPS |
|
|
Face Detection (SP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
7859
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
17234
204.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2001
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9807
75.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
16425
127.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5009
6.44 IPS |
|
|
Style Transfer (HP)
|
100% |
32854
42.2 IPS |
|
|
Style Transfer (Q)
|
98% |
61607
79.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
949
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8478
313.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14797
548.0 IPS |
|
|
Text Classification (SP)
|
100% |
1006
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2193
37.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2144
36.9 IPS |
