HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
5975
Single Precision Score
1976
Half Precision Score
8926
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 19 2025 05:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
4359
810.7 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
99% |
8177
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4271
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13490
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6963
8.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
40879
47.9 IPS |
|
|
Object Detection (SP)
|
100% |
4334
343.8 IPS |
|
|
Object Detection (HP)
|
100% |
911
72.2 IPS |
|
|
Object Detection (Q)
|
86% |
10568
849.4 IPS |
|
|
Face Detection (SP)
|
100% |
12181
144.7 IPS |
|
|
Face Detection (HP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
11558
137.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13083
100.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2934
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20664
164.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27613
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17382
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28583
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2630
97.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5432
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
1707
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1502
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3821
76.8 IPS |
