HP HP Pavilion Plus Laptop 16-ab1xxx
Geekbench AI Score
2311
Single Precision Score
7217
Half Precision Score
11469
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 07:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
4196
780.4 IPS |
|
|
Image Classification (Q)
|
100% |
5929
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2991
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2960
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
28275
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61683
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
100% |
4471
354.7 IPS |
|
|
Object Detection (Q)
|
88% |
7241
580.5 IPS |
|
|
Face Detection (SP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
11174
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
24402
289.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3521
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13215
101.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
28206
219.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8870
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46770
60.1 IPS |
|
|
Style Transfer (Q)
|
98% |
81472
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1932
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11153
411.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20418
756.2 IPS |
|
|
Text Classification (SP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3166
54.5 IPS |
