HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
6390
Single Precision Score
2229
Half Precision Score
9541
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 10:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16-ah0xxx |
| Motherboard | HP 8D41 |
| 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% |
4869
905.5 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.2 IPS |
|
|
Image Classification (Q)
|
99% |
9400
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4833
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13621
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7374
8.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
39043
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4361
345.9 IPS |
|
|
Object Detection (HP)
|
100% |
1041
82.6 IPS |
|
|
Object Detection (Q)
|
86% |
10855
872.4 IPS |
|
|
Face Detection (SP)
|
100% |
12415
147.5 IPS |
|
|
Face Detection (HP)
|
100% |
2495
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
12828
153.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14504
111.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3237
24.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
21241
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29512
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17908
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26409
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3260
120.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6121
226.7 IPS |
|
|
Text Classification (SP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1713
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3055
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4303
86.5 IPS |
