HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
29080
Single Precision Score
50565
Half Precision Score
22684
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 10:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16-ah0xxx |
| Motherboard | HP 8D41 |
| 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% |
12036
2.24 KIPS |
|
|
Image Classification (HP)
|
100% |
19685
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
10676
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22522
365.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
33872
549.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20357
331.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
156108
182.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
445590
519.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
137567
161.1 IPS |
|
|
Object Detection (SP)
|
100% |
15254
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
24747
1.96 KIPS |
|
|
Object Detection (Q)
|
86% |
12939
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
43795
520.4 IPS |
|
|
Face Detection (HP)
|
100% |
64353
764.7 IPS |
|
|
Face Detection (Q)
|
97% |
37520
447.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
71381
550.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
128674
991.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
55733
445.2 IPS |
|
|
Style Transfer (SP)
|
100% |
246705
317.1 IPS |
|
|
Style Transfer (HP)
|
100% |
864486
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
216925
279.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39610
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70407
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32263
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4610
6.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2160
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6265
107.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6397
110.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2950
55.3 IPS |
