HP HP Envy x360 2-in-1 Laptop 14-fc0xxx
Geekbench AI Score
2059
Single Precision Score
860
Half Precision Score
4313
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | AAAlnefaie |
| Upload Date | April 18 2026 10:51 PM |
| Views | 7 |
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 |
| 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% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.6 IPS |
|
|
Image Classification (Q)
|
99% |
3687
687.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4720
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3126
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1566
1.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
10667
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
86% |
3627
291.5 IPS |
|
|
Face Detection (SP)
|
100% |
4244
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
984
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
6135
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4082
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1192
9.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
9214
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7106
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
4896
6.29 IPS |
|
|
Style Transfer (Q)
|
98% |
12328
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3195
118.3 IPS |
|
|
Text Classification (SP)
|
100% |
1098
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
528
704.6 IPS |
|
|
Text Classification (Q)
|
97% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.45 IPS |
|
|
Machine Translation (Q)
|
65% |
1433
28.8 IPS |
