HP HP Pavilion Gaming Laptop 15-cx0xxx
Geekbench AI Score
20
Single Precision Score
20
Half Precision Score
16
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 22 2025 03:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | HP HP Pavilion Gaming Laptop 15-cx0xxx |
| Motherboard | HP 8477 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6
1.06 IPS |
|
|
Image Classification (HP)
|
100% |
7
1.31 IPS |
|
|
Image Classification (Q)
|
97% |
10
1.84 IPS |
|
|
Image Segmentation (SP)
|
100% |
16
0.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
17
0.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
13
0.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
20
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
20
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
17
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
12
0.96 IPS |
|
|
Object Detection (HP)
|
100% |
12
0.96 IPS |
|
|
Object Detection (Q)
|
87% |
10
0.80 IPS |
|
|
Face Detection (SP)
|
100% |
40
0.48 IPS |
|
|
Face Detection (HP)
|
100% |
40
0.48 IPS |
|
|
Face Detection (Q)
|
97% |
33
0.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
29
0.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
29
0.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
20
0.19 IPS |
|
|
Style Transfer (SP)
|
100% |
62
0.08 IPS |
|
|
Style Transfer (HP)
|
100% |
62
0.08 IPS |
|
|
Style Transfer (Q)
|
98% |
52
0.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13
0.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13
0.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11
0.40 IPS |
|
|
Text Classification (SP)
|
100% |
17
23.1 IPS |
|
|
Text Classification (HP)
|
100% |
17
22.9 IPS |
|
|
Text Classification (Q)
|
91% |
13
17.9 IPS |
|
|
Machine Translation (SP)
|
100% |
32
0.55 IPS |
|
|
Machine Translation (HP)
|
100% |
32
0.55 IPS |
|
|
Machine Translation (Q)
|
58% |
18
0.42 IPS |
