HP HP Pavilion Laptop 16-af0xxx
Geekbench AI Score
2416
Single Precision Score
2287
Half Precision Score
6056
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 04:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (Q)
|
100% |
3960
736.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3791
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3024
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2488
2.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
11426
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (Q)
|
88% |
4005
321.0 IPS |
|
|
Face Detection (SP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
3892
46.2 IPS |
|
|
Face Detection (Q)
|
100% |
8586
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3619
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3381
26.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
9596
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8181
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7994
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31616
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6255
231.7 IPS |
|
|
Text Classification (SP)
|
100% |
1558
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1539
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
2716
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2261
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2185
37.6 IPS |
