HP HP Pavilion Plus Laptop 14-ew1xxx
Geekbench AI Score
2073
Single Precision Score
2012
Half Precision Score
4702
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | abbyscircuit |
| Upload Date | June 29 2025 03:34 AM |
| Views | 7 |
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% |
1171
217.7 IPS |
|
|
Image Classification (HP)
|
100% |
1158
215.3 IPS |
|
|
Image Classification (Q)
|
100% |
3607
670.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3268
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2953
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2959
3.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
11137
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1113
88.3 IPS |
|
|
Object Detection (HP)
|
100% |
1088
86.3 IPS |
|
|
Object Detection (Q)
|
88% |
3333
267.2 IPS |
|
|
Face Detection (SP)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (Q)
|
100% |
4750
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3103
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3094
23.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
7704
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8532
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9397
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30197
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1499
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5487
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (Q)
|
92% |
1447
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1376
23.7 IPS |
