HP HP Pavilion Laptop 14-bf1xx
Geekbench AI Score
1255
Single Precision Score
635
Half Precision Score
1892
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 02:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Laptop 14-bf1xx |
| Motherboard | HP 83CE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1133
210.8 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
96% |
1590
297.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
1757
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1609
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1317
1.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
2371
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
58% |
761
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
1452
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
595
7.07 IPS |
|
|
Face Detection (Q)
|
96% |
2819
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2576
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
841
6.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
3836
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4425
5.69 IPS |
|
|
Style Transfer (HP)
|
100% |
3370
4.33 IPS |
|
|
Style Transfer (Q)
|
87% |
6090
7.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1731
64.2 IPS |
|
|
Text Classification (SP)
|
100% |
889
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
523
698.5 IPS |
|
|
Text Classification (Q)
|
97% |
790
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.14 IPS |
|
|
Machine Translation (Q)
|
68% |
1299
25.1 IPS |
