HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
32430
Single Precision Score
56603
Half Precision Score
24644
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 07:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
12753
2.37 KIPS |
|
|
Image Classification (HP)
|
100% |
20426
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
11368
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25066
406.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
36909
598.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22660
368.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
200559
234.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
599957
700.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
170284
199.5 IPS |
|
|
Object Detection (SP)
|
100% |
17094
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
25694
2.04 KIPS |
|
|
Object Detection (Q)
|
86% |
14791
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
49316
586.0 IPS |
|
|
Face Detection (HP)
|
100% |
74941
890.5 IPS |
|
|
Face Detection (Q)
|
97% |
40579
483.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
77789
599.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
163889
1.26 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58853
470.0 IPS |
|
|
Style Transfer (SP)
|
100% |
284529
365.8 IPS |
|
|
Style Transfer (HP)
|
100% |
953997
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
252603
325.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45136
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76398
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35841
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4900
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2115
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
6654
114.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6623
114.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2785
52.2 IPS |
