HP HP Pavilion Laptop 15-cs1xxx
Geekbench AI Score
1178
Single Precision Score
602
Half Precision Score
1687
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Dulaso1 |
| Upload Date | August 21 2025 09:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8565U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pavilion Laptop 15-cs1xxx |
| Motherboard | HP 84C1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8565U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
640
119.1 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
96% |
1149
214.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
923
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1604
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1375
1.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
3087
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
908
72.1 IPS |
|
|
Object Detection (HP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (Q)
|
58% |
1061
115.9 IPS |
|
|
Face Detection (SP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.62 IPS |
|
|
Face Detection (Q)
|
96% |
2822
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2485
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
811
6.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
3401
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4772
6.13 IPS |
|
|
Style Transfer (HP)
|
100% |
3582
4.60 IPS |
|
|
Style Transfer (Q)
|
87% |
5184
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1653
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
428
570.7 IPS |
|
|
Text Classification (Q)
|
97% |
648
867.5 IPS |
|
|
Machine Translation (SP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (Q)
|
68% |
1009
19.5 IPS |
