HP HP Pavilion Plus Laptop 14-ew1xxx
Geekbench AI Score
2387
Single Precision Score
913
Half Precision Score
4136
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 09:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Plus Laptop 14-ew1xxx |
| Motherboard | HP 8C31 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2165
402.7 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (Q)
|
99% |
4797
894.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2730
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4404
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3064
3.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
13794
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.4 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
86% |
3632
291.9 IPS |
|
|
Face Detection (SP)
|
100% |
4692
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
905
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
5908
70.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4747
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1128
8.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
9238
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8152
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
4786
6.15 IPS |
|
|
Style Transfer (Q)
|
98% |
12673
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1472
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1780
65.9 IPS |
|
|
Text Classification (SP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
515
687.4 IPS |
|
|
Text Classification (Q)
|
97% |
1211
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
65% |
1498
30.1 IPS |
