HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
3600
Single Precision Score
1331
Half Precision Score
5671
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 06:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (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% |
2485
462.1 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.7 IPS |
|
|
Image Classification (Q)
|
99% |
5405
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2755
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7377
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4522
5.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
22662
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
86% |
6118
491.7 IPS |
|
|
Face Detection (SP)
|
100% |
7895
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
7527
89.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8471
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1680
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12380
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19839
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12426
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23059
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2395
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1859
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3727
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
1126
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
524
699.8 IPS |
|
|
Text Classification (Q)
|
97% |
968
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2153
43.3 IPS |
