HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
4332
Single Precision Score
7514
Half Precision Score
11194
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 10:49 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% |
2959
550.3 IPS |
|
|
Image Classification (HP)
|
100% |
4599
855.3 IPS |
|
|
Image Classification (Q)
|
100% |
6193
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2951
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7771
126.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9848
159.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9827
11.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
9478
11.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
31467
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3223
255.6 IPS |
|
|
Object Detection (HP)
|
100% |
4975
394.6 IPS |
|
|
Object Detection (Q)
|
88% |
7853
629.3 IPS |
|
|
Face Detection (SP)
|
100% |
4578
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
14888
176.9 IPS |
|
|
Face Detection (Q)
|
100% |
22947
272.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8536
65.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
19980
154.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
18832
146.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24976
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29300
37.7 IPS |
|
|
Style Transfer (Q)
|
98% |
71910
92.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4280
158.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7636
282.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13070
484.0 IPS |
|
|
Text Classification (SP)
|
71% |
1103
1.60 KIPS |
|
|
Text Classification (HP)
|
71% |
1817
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1815
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2816
48.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2782
48.1 IPS |
