HP HP Pavilion Laptop 16-af0xxx
Geekbench AI Score
2078
Single Precision Score
855
Half Precision Score
4564
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 04:07 PM |
| Views | 4 |
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% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (Q)
|
99% |
3631
677.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
4870
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1755
2.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
12254
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
86% |
3705
297.7 IPS |
|
|
Face Detection (SP)
|
100% |
4540
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
1055
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
6469
77.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4371
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1041
8.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
9596
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7134
9.17 IPS |
|
|
Style Transfer (HP)
|
100% |
4567
5.87 IPS |
|
|
Style Transfer (Q)
|
98% |
11444
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3267
121.0 IPS |
|
|
Text Classification (SP)
|
100% |
1200
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
439
586.4 IPS |
|
|
Text Classification (Q)
|
97% |
1096
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (Q)
|
65% |
1922
38.6 IPS |
