HP HP Pavilion Laptop 14-bf1xx
Geekbench AI Score
855
Single Precision Score
435
Half Precision Score
1353
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 03:07 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% |
495
92.1 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
96% |
1022
190.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (Q)
|
97% |
1211
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
881
1.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
2134
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.0 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
58% |
740
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
492
5.84 IPS |
|
|
Face Detection (Q)
|
96% |
2117
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1413
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
597
4.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
2274
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2949
3.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2156
2.77 IPS |
|
|
Style Transfer (Q)
|
87% |
4284
5.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
967
35.8 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.2 IPS |
|
|
Text Classification (HP)
|
100% |
340
453.6 IPS |
|
|
Text Classification (Q)
|
97% |
559
748.4 IPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (Q)
|
68% |
946
18.3 IPS |
