HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench AI Score
1422
Single Precision Score
1317
Half Precision Score
3527
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 06:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7540U w/ Radeon(TM) 740M Graphics |
| 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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
941
174.9 IPS |
|
|
Image Classification (Q)
|
100% |
2795
519.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
986
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1655
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1625
1.90 IPS |
|
|
Pose Estimation (Q)
|
98% |
6644
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
940
74.6 IPS |
|
|
Object Detection (HP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (Q)
|
88% |
2746
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
1768
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
2015
23.9 IPS |
|
|
Face Detection (Q)
|
100% |
4585
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2380
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2148
16.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
6377
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4841
6.22 IPS |
|
|
Style Transfer (HP)
|
100% |
4794
6.16 IPS |
|
|
Style Transfer (Q)
|
98% |
17395
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
922
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
936
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3287
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
1581
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2245
38.7 IPS |
