HP HP Pavilion Laptop 15-eg1xxx
Geekbench AI Score
1440
Single Precision Score
765
Half Precision Score
3419
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Shivesht |
| Upload Date | May 01 2025 05:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1155G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Laptop 15-eg1xxx |
| Motherboard | HP 898B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1155G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1154
214.7 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
3362
627.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
2036
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2220
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1629
1.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
7271
8.53 IPS |
|
|
Object Detection (SP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (Q)
|
86% |
2999
241.0 IPS |
|
|
Face Detection (SP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
845
10.0 IPS |
|
|
Face Detection (Q)
|
97% |
4696
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2399
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
951
7.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
6236
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4595
5.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3796
4.88 IPS |
|
|
Style Transfer (Q)
|
98% |
10307
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2322
86.0 IPS |
|
|
Text Classification (SP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
513
685.1 IPS |
|
|
Text Classification (Q)
|
97% |
1130
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
65% |
1849
37.2 IPS |
