HP HP Pavilion Plus Laptop 14-ew1xxx
Geekbench AI Score
1645
Single Precision Score
1582
Half Precision Score
3358
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | manthan19 |
| Upload Date | May 12 2025 09:35 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
774
144.0 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
100% |
907
168.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
567
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
1113
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2958
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
9606
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (HP)
|
100% |
796
63.2 IPS |
|
|
Object Detection (Q)
|
88% |
1988
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
3474
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
6828
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3179
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3008
23.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
7116
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7065
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
8629
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23305
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3492
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1912
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1252
21.6 IPS |
