HP HP Pavilion Laptop 15-eg1xxx
Geekbench AI Score
1151
Single Precision Score
570
Half Precision Score
2619
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Shivesht |
| Upload Date | May 01 2025 02:45 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% |
1116
207.6 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
99% |
2930
546.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1286
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1402
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1231
1.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
6743
7.91 IPS |
|
|
Object Detection (SP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.5 IPS |
|
|
Object Detection (Q)
|
86% |
2026
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
635
7.55 IPS |
|
|
Face Detection (Q)
|
97% |
4645
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2334
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
861
6.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
4691
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3837
4.93 IPS |
|
|
Style Transfer (HP)
|
100% |
2681
3.45 IPS |
|
|
Style Transfer (Q)
|
98% |
6921
8.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1577
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
368
491.5 IPS |
|
|
Text Classification (Q)
|
97% |
965
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
65% |
1288
25.9 IPS |
