HP OMEN MAX Gaming Laptop 16-ak0xxx
Geekbench AI Score
2951
Single Precision Score
1469
Half Precision Score
7090
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 375 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3009
559.6 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.2 IPS |
|
|
Image Classification (Q)
|
99% |
7795
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10836
176.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4478
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3899
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
17865
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.1 IPS |
|
|
Object Detection (HP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
86% |
5904
474.5 IPS |
|
|
Face Detection (SP)
|
100% |
4986
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
9075
108.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5801
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1931
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13179
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10767
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10751
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25904
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2935
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
1252
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
649
866.6 IPS |
|
|
Text Classification (Q)
|
97% |
1270
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2056
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3121
62.7 IPS |
