HP HP Pavilion Laptop 15t-eg000
Geekbench AI Score
1476
Single Precision Score
770
Half Precision Score
3538
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | WINSEVN |
| Upload Date | November 08 2025 07:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Laptop 15t-eg000 |
| Motherboard | HP 87CB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1121
208.5 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
99% |
2942
548.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
3105
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2077
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1465
1.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
6548
7.68 IPS |
|
|
Object Detection (SP)
|
100% |
1111
88.2 IPS |
|
|
Object Detection (HP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (Q)
|
86% |
2379
191.2 IPS |
|
|
Face Detection (SP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
4856
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2662
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1104
8.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
7162
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5256
6.76 IPS |
|
|
Style Transfer (HP)
|
100% |
3945
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
10810
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
891
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3079
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
554
739.4 IPS |
|
|
Text Classification (Q)
|
97% |
1052
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
65% |
1775
35.7 IPS |
