HP OMEN MAX Gaming Laptop 16-ak0xxx
Geekbench AI Score
3699
Single Precision Score
1834
Half Precision Score
7733
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:38 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% |
3088
574.3 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.6 IPS |
|
|
Image Classification (Q)
|
99% |
7541
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9743
158.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6570
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
5987
6.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
27921
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
3147
249.6 IPS |
|
|
Object Detection (HP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (Q)
|
86% |
8096
650.7 IPS |
|
|
Face Detection (SP)
|
100% |
6427
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11274
134.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8431
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2611
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16941
135.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16344
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15296
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31953
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2457
90.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2312
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1809
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
1646
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1446
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2162
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2887
58.0 IPS |
