HP HP Pavilion Laptop 15t-eg000
Geekbench AI Score
2335
Single Precision Score
2415
Half Precision Score
1492
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | WINSEVN |
| Upload Date | November 08 2025 07:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1084
201.6 IPS |
|
|
Image Classification (HP)
|
100% |
1109
206.3 IPS |
|
|
Image Classification (Q)
|
100% |
919
170.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8390
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
9820
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
4729
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
1216
96.5 IPS |
|
|
Object Detection (HP)
|
98% |
1072
85.3 IPS |
|
|
Object Detection (Q)
|
86% |
989
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
2144
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
1604
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4762
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5341
41.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3334
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19094
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25215
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
12168
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2965
109.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3648
134.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1240
45.9 IPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
364
486.0 IPS |
|
|
Text Classification (Q)
|
97% |
401
536.9 IPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
70% |
382
7.16 IPS |
