HP HP Pavilion Laptop 16-af0xxx
Geekbench AI Score
2895
Single Precision Score
4957
Half Precision Score
2043
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 04:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
3182
591.7 IPS |
|
|
Image Classification (Q)
|
100% |
1187
220.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4624
75.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1476
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7565
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
11346
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
6559
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
3203
254.8 IPS |
|
|
Object Detection (Q)
|
86% |
1246
100.2 IPS |
|
|
Face Detection (SP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5123
60.9 IPS |
|
|
Face Detection (Q)
|
97% |
2111
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5342
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12652
97.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
4247
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22050
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34050
43.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17143
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4025
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6574
242.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2176
80.6 IPS |
|
|
Text Classification (SP)
|
86% |
677
915.7 IPS |
|
|
Text Classification (HP)
|
99% |
623
832.0 IPS |
|
|
Text Classification (Q)
|
84% |
361
490.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
70% |
733
13.7 IPS |
