HP HP Pavilion Laptop 15-eg2xxx
Geekbench AI Score
4697
Single Precision Score
6504
Half Precision Score
9707
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2903
539.9 IPS |
|
|
Image Classification (HP)
|
100% |
4669
868.4 IPS |
|
|
Image Classification (Q)
|
99% |
5968
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4277
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7117
115.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7972
129.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10374
12.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
7855
9.17 IPS |
|
|
Pose Estimation (Q)
|
97% |
31097
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
2820
223.7 IPS |
|
|
Object Detection (HP)
|
100% |
3921
311.0 IPS |
|
|
Object Detection (Q)
|
90% |
6096
487.4 IPS |
|
|
Face Detection (SP)
|
100% |
6483
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
11008
130.8 IPS |
|
|
Face Detection (Q)
|
100% |
16361
194.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10139
78.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
15885
122.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
20228
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26385
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35261
45.3 IPS |
|
|
Style Transfer (Q)
|
98% |
71781
92.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4296
158.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6772
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12017
445.0 IPS |
|
|
Text Classification (SP)
|
71% |
1193
1.73 KIPS |
|
|
Text Classification (HP)
|
71% |
1635
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1397
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1940
33.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2066
35.7 IPS |
