HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench AI Score
1760
Single Precision Score
969
Half Precision Score
2889
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 05:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7540U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Plus Laptop 14-ey0xxx |
| Motherboard | HP 8C21 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7540U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1074
199.8 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.2 IPS |
|
|
Image Classification (Q)
|
99% |
3221
600.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2057
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3874
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3106
3.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
13698
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (Q)
|
88% |
1102
88.3 IPS |
|
|
Face Detection (SP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
2780
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3107
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1359
10.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3601
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6574
8.45 IPS |
|
|
Style Transfer (HP)
|
100% |
6206
7.98 IPS |
|
|
Style Transfer (Q)
|
98% |
13811
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1565
58.0 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.2 IPS |
|
|
Text Classification (Q)
|
97% |
1169
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (Q)
|
60% |
1601
35.7 IPS |
