HP HP Pavilion Laptop 16-af0xxx
Geekbench AI Score
2442
Single Precision Score
8707
Half Precision Score
13294
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 04:28 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% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
6153
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8649
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3041
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3100
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
30183
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
64800
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
100% |
5318
421.8 IPS |
|
|
Object Detection (Q)
|
87% |
8767
703.6 IPS |
|
|
Face Detection (SP)
|
100% |
3895
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
15366
182.6 IPS |
|
|
Face Detection (Q)
|
100% |
28820
342.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3694
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17025
131.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
31866
247.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8873
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
47786
61.4 IPS |
|
|
Style Transfer (Q)
|
98% |
86644
111.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12521
462.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20958
776.2 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1845
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3752
64.6 IPS |
