HP OMEN MAX Gaming Laptop 16-ak0xxx
Geekbench AI Score
5868
Single Precision Score
5831
Half Precision Score
14797
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 375 w/ Radeon 890M |
| 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% |
3583
666.4 IPS |
|
|
Image Classification (HP)
|
100% |
3327
618.8 IPS |
|
|
Image Classification (Q)
|
100% |
9938
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4172
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4443
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12082
195.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8251
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
8237
9.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
30558
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
3155
250.2 IPS |
|
|
Object Detection (HP)
|
100% |
3116
247.2 IPS |
|
|
Object Detection (Q)
|
88% |
9071
727.2 IPS |
|
|
Face Detection (SP)
|
100% |
8349
99.2 IPS |
|
|
Face Detection (HP)
|
100% |
8479
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
27213
323.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9888
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10014
77.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
24191
188.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21727
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21848
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
77181
99.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4787
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13977
517.6 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (Q)
|
92% |
4010
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4222
72.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5312
91.5 IPS |
