HP HP Pavilion Laptop 16-af0xxx
Geekbench AI Score
2260
Single Precision Score
8642
Half Precision Score
13082
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 04:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1044
194.1 IPS |
|
|
Image Classification (HP)
|
100% |
6089
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8205
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3086
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2815
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
30320
35.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
64671
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (HP)
|
100% |
5294
420.0 IPS |
|
|
Object Detection (Q)
|
87% |
8667
695.6 IPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
15123
179.7 IPS |
|
|
Face Detection (Q)
|
100% |
28308
336.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3729
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16983
130.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
31260
243.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8559
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48567
62.4 IPS |
|
|
Style Transfer (Q)
|
98% |
86836
112.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12458
460.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20668
765.4 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1755
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1768
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3686
63.5 IPS |
