HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
5870
Single Precision Score
2023
Half Precision Score
9016
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 05 2025 06:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16-ah0xxx |
| Motherboard | HP 8D41 |
| Power Plan | Equilibrado |
| 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% |
3431
638.0 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.8 IPS |
|
|
Image Classification (Q)
|
99% |
8690
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2629
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4449
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13289
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6725
7.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
40524
47.5 IPS |
|
|
Object Detection (SP)
|
100% |
4366
346.3 IPS |
|
|
Object Detection (HP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (Q)
|
86% |
10561
848.8 IPS |
|
|
Face Detection (SP)
|
100% |
10611
126.1 IPS |
|
|
Face Detection (HP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
11602
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14261
109.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2488
19.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20318
162.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27706
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17269
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29647
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4762
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2995
110.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4737
175.4 IPS |
|
|
Text Classification (SP)
|
100% |
1728
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1555
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2694
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4171
83.8 IPS |
