HP OMEN MAX Gaming Laptop 16t-ah000
Geekbench AI Score
2113
Single Precision Score
8720
Half Precision Score
14038
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | FRXKTXR |
| Upload Date | December 08 2025 12:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN MAX Gaming Laptop 16t-ah000 |
| Motherboard | HP 8D41 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1009
187.6 IPS |
|
|
Image Classification (HP)
|
100% |
6506
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9367
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3517
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3407
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
33694
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
71308
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
100% |
5393
427.7 IPS |
|
|
Object Detection (Q)
|
88% |
9330
748.0 IPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
14047
166.9 IPS |
|
|
Face Detection (Q)
|
100% |
29264
347.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2907
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12999
100.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
24723
192.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8602
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40252
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
76438
98.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15743
581.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30437
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1902
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
2078
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3877
66.8 IPS |
