HP HP Envy x360 2-in-1 Laptop 14-fc0xxx
Geekbench AI Score
1612
Single Precision Score
578
Half Precision Score
3045
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 02:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| 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 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% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (Q)
|
99% |
2723
507.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
4219
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2868
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1387
1.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
8801
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (Q)
|
86% |
2282
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3810
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
619
7.35 IPS |
|
|
Face Detection (Q)
|
97% |
3656
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3616
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
834
6.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
7984
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5908
7.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3312
4.26 IPS |
|
|
Style Transfer (Q)
|
98% |
11658
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1748
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
522
696.5 IPS |
|
|
Text Classification (HP)
|
100% |
331
442.1 IPS |
|
|
Text Classification (Q)
|
97% |
459
615.6 IPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
65% |
1091
21.9 IPS |
