HP HP Pavilion Laptop 15-eg2xxx
Geekbench AI Score
2394
Single Precision Score
2363
Half Precision Score
5746
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1260P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP Pavilion Laptop 15-eg2xxx |
| Motherboard | HP 89F6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1184
220.1 IPS |
|
|
Image Classification (HP)
|
100% |
1180
219.5 IPS |
|
|
Image Classification (Q)
|
100% |
4203
781.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3851
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3685
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3497
4.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
9806
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.3 IPS |
|
|
Object Detection (HP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (Q)
|
88% |
3861
309.5 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (Q)
|
100% |
8766
104.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4012
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3746
28.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
9819
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9450
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9613
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26564
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1659
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5431
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
3108
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1659
28.6 IPS |
