HP OMEN MAX Gaming Laptop 16t-ah000
Geekbench AI Score
25127
Single Precision Score
40904
Half Precision Score
19942
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | FRXKTXR |
| Upload Date | December 08 2025 12:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16t-ah000 |
| Motherboard | HP 8D41 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10068
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
15817
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
9479
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18242
295.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24945
404.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16804
273.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
153409
179.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
425065
496.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
137706
161.3 IPS |
|
|
Object Detection (SP)
|
100% |
12304
976.0 IPS |
|
|
Object Detection (HP)
|
100% |
18345
1.46 KIPS |
|
|
Object Detection (Q)
|
86% |
10303
827.8 IPS |
|
|
Face Detection (SP)
|
100% |
33574
398.9 IPS |
|
|
Face Detection (HP)
|
100% |
50001
594.1 IPS |
|
|
Face Detection (Q)
|
97% |
30666
365.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
65737
506.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
120202
926.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
51512
411.5 IPS |
|
|
Style Transfer (SP)
|
100% |
242152
311.3 IPS |
|
|
Style Transfer (HP)
|
100% |
748563
962.3 IPS |
|
|
Style Transfer (Q)
|
98% |
207909
268.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36558
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59418
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28346
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1922
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4887
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4537
78.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2461
46.2 IPS |
