HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
4184
Single Precision Score
1602
Half Precision Score
7243
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Lastutu |
| Upload Date | June 28 2025 10:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4284
796.6 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.7 IPS |
|
|
Image Classification (Q)
|
99% |
7805
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1200
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4355
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10464
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5876
6.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
16475
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2044
162.1 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
86% |
8173
656.8 IPS |
|
|
Face Detection (SP)
|
100% |
4635
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
1048
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
7220
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4256
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1876
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18866
150.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25072
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15673
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22707
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5108
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
1576
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3764
75.6 IPS |
