HP HP Pavilion Notebook
Geekbench AI Score
584
Single Precision Score
339
Half Precision Score
565
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 04:28 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-5157U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP Pavilion Notebook |
| Motherboard | HP 8093 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-5157U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
96% |
371
69.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
321
5.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
793
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
913
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (Q)
|
58% |
271
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
960
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
413
4.91 IPS |
|
|
Face Detection (Q)
|
96% |
984
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
973
7.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
1039
8.29 IPS |
|
|
Style Transfer (SP)
|
100% |
1912
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1439
1.85 IPS |
|
|
Style Transfer (Q)
|
87% |
2052
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
504
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
406
542.5 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.7 IPS |
|
|
Text Classification (Q)
|
97% |
186
248.8 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.21 IPS |
|
|
Machine Translation (Q)
|
68% |
577
11.2 IPS |
