HP HP Pavilion Plus Laptop 14-ew1xxx
Geekbench AI Score
1726
Single Precision Score
6622
Half Precision Score
9786
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | manthan19 |
| Upload Date | May 12 2025 09:08 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
796
148.0 IPS |
|
|
Image Classification (HP)
|
100% |
4157
773.0 IPS |
|
|
Image Classification (Q)
|
100% |
5723
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
2298
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2871
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3140
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
28756
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
61496
72.0 IPS |
|
|
Object Detection (SP)
|
100% |
945
74.9 IPS |
|
|
Object Detection (HP)
|
100% |
4149
329.1 IPS |
|
|
Object Detection (Q)
|
89% |
6920
554.3 IPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
10720
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
20786
247.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3063
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14322
110.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
29430
229.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8273
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43384
55.8 IPS |
|
|
Style Transfer (Q)
|
98% |
78169
100.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10605
391.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15210
563.3 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
835
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2128
36.7 IPS |
