HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
4511
Single Precision Score
7676
Half Precision Score
11077
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 10:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
3546
659.4 IPS |
|
|
Image Classification (HP)
|
100% |
5456
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
6879
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3057
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7690
124.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10265
166.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10496
12.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
9723
11.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
31686
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3310
262.5 IPS |
|
|
Object Detection (HP)
|
100% |
5239
415.5 IPS |
|
|
Object Detection (Q)
|
88% |
8219
658.7 IPS |
|
|
Face Detection (SP)
|
100% |
5303
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
14395
171.0 IPS |
|
|
Face Detection (Q)
|
100% |
23366
277.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7896
60.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
15717
121.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
12738
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24363
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35891
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
77944
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4442
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7870
290.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12501
463.0 IPS |
|
|
Text Classification (SP)
|
71% |
1121
1.62 KIPS |
|
|
Text Classification (HP)
|
71% |
1780
2.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1838
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1827
31.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2924
50.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2839
49.1 IPS |
