HP HP Pavilion Plus Laptop 16-ab1xxx
Geekbench AI Score
2401
Single Precision Score
2420
Half Precision Score
5968
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP Pavilion Plus Laptop 16-ab1xxx |
| Motherboard | HP 8CB9 |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.8 IPS |
|
|
Image Classification (Q)
|
100% |
4434
824.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4075
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3011
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
11415
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
88% |
3955
317.0 IPS |
|
|
Face Detection (SP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
3713
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
8167
97.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3826
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4083
31.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9875
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8413
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8806
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28518
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6819
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1666
2.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2988
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1757
30.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1500
25.8 IPS |
