HP OMEN MAX Gaming Laptop 16-ak0xxx
Geekbench AI Score
7473
Single Precision Score
12931
Half Precision Score
5441
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 26 2025 02:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16-ak0xxx |
| Motherboard | HP 8DD5 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2739
509.4 IPS |
|
|
Image Classification (HP)
|
100% |
5253
976.9 IPS |
|
|
Image Classification (Q)
|
100% |
2529
470.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3702
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5681
92.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3119
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
42601
49.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
102520
119.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
28845
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
100% |
4017
318.6 IPS |
|
|
Object Detection (Q)
|
87% |
1963
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
5373
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
9656
114.7 IPS |
|
|
Face Detection (Q)
|
97% |
4037
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16929
130.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28002
215.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
11763
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
70336
90.4 IPS |
|
|
Style Transfer (HP)
|
100% |
139823
179.7 IPS |
|
|
Style Transfer (Q)
|
98% |
44623
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11236
414.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25663
947.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7833
290.1 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1891
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1623
30.4 IPS |
