HP HP Pavilion Laptop 15-eg2xxx
Geekbench AI Score
2574
Single Precision Score
1115
Half Precision Score
4774
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (Q)
|
99% |
3679
686.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5825
94.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4236
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3053
3.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
12165
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
86% |
3837
308.3 IPS |
|
|
Face Detection (SP)
|
100% |
4660
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
6661
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4877
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1602
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9874
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9199
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6677
8.58 IPS |
|
|
Style Transfer (Q)
|
98% |
14316
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3260
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
510
680.3 IPS |
|
|
Text Classification (Q)
|
97% |
1063
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
1885
37.9 IPS |
