HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
24707
Single Precision Score
45673
Half Precision Score
19828
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 06:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16-ah0xxx |
| Motherboard | HP 8D41 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10875
2.02 KIPS |
|
|
Image Classification (HP)
|
100% |
18506
3.44 KIPS |
|
|
Image Classification (Q)
|
100% |
9756
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19136
310.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
31978
518.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17893
291.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
122140
142.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
352371
411.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
110493
129.4 IPS |
|
|
Object Detection (SP)
|
100% |
12303
975.9 IPS |
|
|
Object Detection (HP)
|
100% |
22012
1.75 KIPS |
|
|
Object Detection (Q)
|
86% |
10604
852.0 IPS |
|
|
Face Detection (SP)
|
100% |
37319
443.4 IPS |
|
|
Face Detection (HP)
|
100% |
59715
709.5 IPS |
|
|
Face Detection (Q)
|
97% |
31797
379.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
55046
424.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
114161
879.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
46117
368.4 IPS |
|
|
Style Transfer (SP)
|
100% |
209483
269.3 IPS |
|
|
Style Transfer (HP)
|
100% |
741760
953.5 IPS |
|
|
Style Transfer (Q)
|
98% |
188100
242.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34972
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64594
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28073
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4277
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2111
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5427
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6160
106.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2810
52.7 IPS |
