HP OMEN MAX Gaming Laptop 16-ak0xxx
Geekbench AI Score
8487
Single Precision Score
14220
Half Precision Score
6077
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 11:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
3060
569.1 IPS |
|
|
Image Classification (HP)
|
100% |
5475
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
2618
486.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4161
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5834
94.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3391
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
46827
54.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
111081
129.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32265
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
3828
303.6 IPS |
|
|
Object Detection (Q)
|
87% |
2233
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
6311
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
11495
136.6 IPS |
|
|
Face Detection (Q)
|
97% |
5145
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19119
147.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
31977
246.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
14190
113.8 IPS |
|
|
Style Transfer (SP)
|
100% |
85236
109.6 IPS |
|
|
Style Transfer (HP)
|
100% |
160322
206.1 IPS |
|
|
Style Transfer (Q)
|
98% |
51951
67.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13998
516.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28404
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8919
330.3 IPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1837
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3540
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4468
77.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1731
32.5 IPS |
