HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
7264
Single Precision Score
7520
Half Precision Score
14994
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Lastutu |
| Upload Date | June 28 2025 10:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16-ah0xxx |
| Motherboard | HP 8D41 |
| Power Plan | Ultimate Performance (ExitLag) |
| 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% |
4901
911.5 IPS |
|
|
Image Classification (HP)
|
100% |
5582
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
9929
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7135
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3945
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12470
202.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10718
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10475
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29979
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
4526
359.0 IPS |
|
|
Object Detection (HP)
|
100% |
5059
401.3 IPS |
|
|
Object Detection (Q)
|
88% |
10869
871.2 IPS |
|
|
Face Detection (SP)
|
100% |
13582
161.4 IPS |
|
|
Face Detection (HP)
|
100% |
16778
199.4 IPS |
|
|
Face Detection (Q)
|
100% |
27324
324.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12277
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14601
112.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
29862
232.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23270
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20923
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
78767
101.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6582
243.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6055
223.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14615
541.3 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (Q)
|
92% |
5857
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2714
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5850
100.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2588
44.6 IPS |
