HP HP Pavilion Plus Laptop 14-ew1xxx
Geekbench AI Score
2408
Single Precision Score
986
Half Precision Score
4304
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | abbyscircuit |
| Upload Date | June 29 2025 03:20 AM |
| Views | 9 |
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% |
1908
354.8 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (Q)
|
99% |
4200
783.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2410
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4158
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
13468
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (HP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (Q)
|
86% |
3679
295.6 IPS |
|
|
Face Detection (SP)
|
100% |
4593
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
6137
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4840
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1406
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9329
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9041
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6338
8.15 IPS |
|
|
Style Transfer (Q)
|
98% |
14269
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2570
95.2 IPS |
|
|
Text Classification (SP)
|
100% |
1083
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
505
674.3 IPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
65% |
1826
36.7 IPS |
