HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench ML Score
9070
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 01:36 PM |
| Views | 10 |
System Information
| 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 |
| L1 Instruction Cache | 64.0 KB x 24 |
| L1 Data Cache | 32.0 KB x 24 |
| L2 Cache | 4.00 MB x 3 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3973
743.4 IPS |
|
|
Image Classification (F16)
|
100% |
3896
729.1 IPS |
|
|
Image Classification (I8)
|
100% |
3470
649.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
7605
127.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
7832
130.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
7901
132.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
59541
72.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
59276
71.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
52006
63.0 IPS |
|
|
Object Detection (F32)
|
100% |
2402
179.3 IPS |
|
|
Object Detection (F16)
|
100% |
3479
259.8 IPS |
|
|
Object Detection (I8)
|
50% |
3011
224.8 IPS |
|
|
Face Detection (F32)
|
100% |
14914
177.3 IPS |
|
|
Face Detection (F16)
|
100% |
14746
175.3 IPS |
|
|
Face Detection (I8)
|
89% |
12094
143.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
25921
201.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
25533
198.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
21010
162.9 IPS |
|
|
Style Transfer (F32)
|
100% |
90758
119.4 IPS |
|
|
Style Transfer (F16)
|
100% |
91578
120.5 IPS |
|
|
Style Transfer (I8)
|
98% |
78790
103.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13962
498.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14975
534.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11990
428.2 IPS |
|
|
Text Classification (F32)
|
100% |
1260
1.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1350
1.94 KIPS |
|
|
Text Classification (I8)
|
98% |
768
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
2256
41.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2287
42.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1122
20.7 IPS |
