HP HP Pavilion Laptop 16-af0xxx
Geekbench AI Score
2252
Single Precision Score
914
Half Precision Score
4856
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 04:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pavilion Laptop 16-af0xxx |
| Motherboard | HP 8CB5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1797
334.2 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
99% |
4001
746.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5605
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3441
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1712
2.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
12069
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
86% |
3847
309.2 IPS |
|
|
Face Detection (SP)
|
100% |
4625
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
1062
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
6273
74.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4639
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1186
9.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
10483
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7372
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
4490
5.77 IPS |
|
|
Style Transfer (Q)
|
98% |
13070
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3231
119.6 IPS |
|
|
Text Classification (SP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
587
783.9 IPS |
|
|
Text Classification (Q)
|
97% |
1328
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (Q)
|
65% |
1899
38.2 IPS |
