HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
4487
Single Precision Score
7346
Half Precision Score
11500
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 10:42 AM |
| Views | 3 |
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% |
2986
555.4 IPS |
|
|
Image Classification (HP)
|
100% |
4531
842.7 IPS |
|
|
Image Classification (Q)
|
100% |
6849
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2973
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8364
135.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10495
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10463
12.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
9657
11.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30743
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
3327
263.9 IPS |
|
|
Object Detection (HP)
|
100% |
5183
411.1 IPS |
|
|
Object Detection (Q)
|
88% |
7962
638.0 IPS |
|
|
Face Detection (SP)
|
100% |
5455
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
15380
182.7 IPS |
|
|
Face Detection (Q)
|
100% |
22642
269.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10170
78.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
22086
171.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24825
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35388
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
67108
86.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8066
297.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12846
475.7 IPS |
|
|
Text Classification (SP)
|
71% |
1140
1.65 KIPS |
|
|
Text Classification (HP)
|
71% |
1883
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
1881
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2872
49.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2838
49.0 IPS |
