HP OMEN MAX Gaming Laptop 16-ah0xxx
Geekbench AI Score
7720
Single Precision Score
8042
Half Precision Score
15658
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 19 2025 05:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16-ah0xxx |
| Motherboard | HP 8D41 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4918
914.6 IPS |
|
|
Image Classification (HP)
|
100% |
5778
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
10037
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7281
118.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4002
64.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12618
204.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12666
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12289
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
29572
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4692
372.1 IPS |
|
|
Object Detection (HP)
|
100% |
5941
471.2 IPS |
|
|
Object Detection (Q)
|
88% |
10791
865.0 IPS |
|
|
Face Detection (SP)
|
100% |
14395
171.0 IPS |
|
|
Face Detection (HP)
|
100% |
16597
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
28960
344.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12739
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14695
113.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
29981
233.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22664
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21942
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
89539
115.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7381
272.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6933
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17268
639.5 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2888
3.86 KIPS |
|
|
Text Classification (Q)
|
92% |
5970
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6257
107.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2735
47.1 IPS |
