HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
27696
Single Precision Score
48962
Half Precision Score
20702
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Lastutu |
| Upload Date | June 28 2025 10:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16-ah0xxx |
| Motherboard | HP 8D41 |
| Power Plan | Ultimate Performance (ExitLag) |
| 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% |
11207
2.08 KIPS |
|
|
Image Classification (HP)
|
100% |
19076
3.55 KIPS |
|
|
Image Classification (Q)
|
100% |
9622
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21643
350.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
33849
548.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19115
310.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
156556
182.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
437385
510.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
140664
164.8 IPS |
|
|
Object Detection (SP)
|
100% |
13665
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
23451
1.86 KIPS |
|
|
Object Detection (Q)
|
86% |
11456
920.4 IPS |
|
|
Face Detection (SP)
|
100% |
40801
484.8 IPS |
|
|
Face Detection (HP)
|
100% |
61747
733.7 IPS |
|
|
Face Detection (Q)
|
97% |
32581
388.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
68795
530.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
121205
933.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
51912
414.7 IPS |
|
|
Style Transfer (SP)
|
100% |
247280
317.9 IPS |
|
|
Style Transfer (HP)
|
100% |
838443
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
209731
270.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38043
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68116
2.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29813
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4500
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1872
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6086
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6216
107.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2465
46.2 IPS |
