HP OMEN MAX Gaming Laptop 16-ak0xxx
Geekbench AI Score
27241
Single Precision Score
45846
Half Precision Score
20697
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:12 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 Pro (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16-ak0xxx |
| Motherboard | HP 8D87 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 375 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11365
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
17492
3.25 KIPS |
|
|
Image Classification (Q)
|
100% |
10411
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19126
310.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26875
435.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17271
280.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
161618
188.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
454226
530.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
132650
155.4 IPS |
|
|
Object Detection (SP)
|
100% |
14340
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
22926
1.82 KIPS |
|
|
Object Detection (Q)
|
86% |
12089
971.3 IPS |
|
|
Face Detection (SP)
|
100% |
39632
470.9 IPS |
|
|
Face Detection (HP)
|
100% |
57872
687.6 IPS |
|
|
Face Detection (Q)
|
97% |
28531
340.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
68582
528.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
132025
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
50698
405.0 IPS |
|
|
Style Transfer (SP)
|
100% |
254416
327.1 IPS |
|
|
Style Transfer (HP)
|
100% |
826743
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
211340
272.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40107
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67278
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32595
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3982
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2146
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4943
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2340
43.9 IPS |
