HP HP Envy x360 2-in-1 Laptop 14-fc0xxx
Geekbench AI Score
2014
Single Precision Score
840
Half Precision Score
4131
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | WSAllhibi |
| Upload Date | March 04 2026 08:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 14-fc0xxx |
| Motherboard | HP 8C65 |
| 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% |
1532
284.8 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
99% |
2848
531.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4777
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1553
1.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
9568
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
86% |
3408
273.9 IPS |
|
|
Face Detection (SP)
|
100% |
4103
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
971
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
5871
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3980
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1116
8.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
7479
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7129
9.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4130
5.31 IPS |
|
|
Style Transfer (Q)
|
98% |
11553
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1347
49.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3524
130.5 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
494
659.1 IPS |
|
|
Text Classification (Q)
|
97% |
1007
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1176
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
65% |
1815
36.5 IPS |
