HP HP Pavilion Laptop 14-ce3xxx
Geekbench AI Score
1049
Single Precision Score
565
Half Precision Score
2158
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tmalomari |
| Upload Date | December 02 2025 03:45 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Laptop 14-ce3xxx |
| Motherboard | HP 86E1 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
99% |
2191
408.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1418
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1473
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1001
1.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
5278
6.19 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
86% |
1727
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
1349
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
602
7.15 IPS |
|
|
Face Detection (Q)
|
97% |
3331
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1939
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
806
6.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
4601
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3089
3.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2829
3.64 IPS |
|
|
Style Transfer (Q)
|
98% |
5888
7.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
746
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2358
87.3 IPS |
|
|
Text Classification (SP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
502
670.2 IPS |
|
|
Text Classification (Q)
|
97% |
312
417.4 IPS |
|
|
Machine Translation (SP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (Q)
|
65% |
1170
23.5 IPS |
