HP HP Pavilion Laptop 15-eh0xxx
Geekbench AI Score
1197
Single Precision Score
713
Half Precision Score
1387
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 05 2024 05:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Laptop 15-eh0xxx |
| Motherboard | HP 87C5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4500U |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
855
159.0 IPS |
|
|
Image Classification (HP)
|
100% |
317
58.9 IPS |
|
|
Image Classification (Q)
|
96% |
1162
217.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
1143
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3147
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2658
3.10 IPS |
|
|
Pose Estimation (Q)
|
87% |
3711
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
86% |
656
52.7 IPS |
|
|
Face Detection (SP)
|
100% |
943
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
637
7.57 IPS |
|
|
Face Detection (Q)
|
96% |
1762
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2577
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1120
8.63 IPS |
|
|
Depth Estimation (Q)
|
77% |
2401
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6076
7.81 IPS |
|
|
Style Transfer (HP)
|
100% |
5560
7.15 IPS |
|
|
Style Transfer (Q)
|
87% |
6514
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1052
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
829
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1295
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
599
799.9 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.3 IPS |
|
|
Text Classification (Q)
|
97% |
297
398.1 IPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (Q)
|
60% |
770
17.2 IPS |
