HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
4392
Single Precision Score
6003
Half Precision Score
3000
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Lastutu |
| Upload Date | June 28 2025 10:54 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2565
477.0 IPS |
|
|
Image Classification (HP)
|
100% |
3489
648.9 IPS |
|
|
Image Classification (Q)
|
99% |
1926
359.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5291
85.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2170
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9925
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16254
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
8564
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.2 IPS |
|
|
Object Detection (HP)
|
100% |
4045
320.9 IPS |
|
|
Object Detection (Q)
|
86% |
1923
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
5221
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
8922
106.0 IPS |
|
|
Face Detection (Q)
|
97% |
3601
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9795
75.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15298
118.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6934
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25899
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40700
52.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19989
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4565
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6905
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3121
115.5 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
676
902.7 IPS |
|
|
Text Classification (Q)
|
97% |
668
894.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1934
33.4 IPS |
|
|
Machine Translation (Q)
|
70% |
825
15.5 IPS |
