HP HP Envy x360 2-in-1 Laptop 14-fc0xxx
Geekbench AI Score
956
Single Precision Score
6056
Half Precision Score
9149
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 08:02 PM |
| Views | 6 |
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 14-fc0xxx |
| Motherboard | HP 8C65 |
| 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% |
1099
204.3 IPS |
|
|
Image Classification (HP)
|
100% |
4164
774.3 IPS |
|
|
Image Classification (Q)
|
100% |
5953
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2954
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2812
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
28566
33.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
59552
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
3607
286.1 IPS |
|
|
Object Detection (Q)
|
89% |
6019
482.0 IPS |
|
|
Face Detection (SP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
9114
108.3 IPS |
|
|
Face Detection (Q)
|
100% |
14814
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1188
9.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
14019
108.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
26111
203.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2913
3.74 IPS |
|
|
Style Transfer (HP)
|
100% |
41726
53.6 IPS |
|
|
Style Transfer (Q)
|
98% |
74046
95.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9044
333.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16228
601.0 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.5 IPS |
|
|
Text Classification (HP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
92% |
742
996.2 IPS |
|
|
Machine Translation (SP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (HP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1892
32.6 IPS |
