HP HP Pavilion Laptop 16-af0xxx
Geekbench AI Score
2399
Single Precision Score
2169
Half Precision Score
5273
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 04:20 PM |
| Views | 3 |
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% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
858
159.5 IPS |
|
|
Image Classification (Q)
|
100% |
1591
295.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4039
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2982
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
9532
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (Q)
|
88% |
3670
294.2 IPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (Q)
|
100% |
8285
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3832
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3564
27.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9511
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8330
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8137
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29774
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6281
232.6 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
3154
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2060
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1592
27.4 IPS |
