HP HP Pavilion Laptop 15t-eg000
Geekbench AI Score
1653
Single Precision Score
1653
Half Precision Score
4150
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | WINSEVN |
| Upload Date | November 08 2025 07:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| 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% |
940
174.8 IPS |
|
|
Image Classification (HP)
|
100% |
945
175.7 IPS |
|
|
Image Classification (Q)
|
100% |
2904
540.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2778
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2062
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2051
2.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
6518
7.63 IPS |
|
|
Object Detection (SP)
|
100% |
864
68.5 IPS |
|
|
Object Detection (HP)
|
100% |
888
70.4 IPS |
|
|
Object Detection (Q)
|
88% |
2357
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
6741
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3073
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2198
16.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
7058
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4357
5.60 IPS |
|
|
Style Transfer (HP)
|
100% |
4178
5.37 IPS |
|
|
Style Transfer (Q)
|
98% |
15630
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3424
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1138
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
2710
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1774
30.6 IPS |
