HP OMEN MAX Gaming Laptop 16t-ah000
Geekbench AI Score
2808
Single Precision Score
1195
Half Precision Score
4957
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 06 2025 09:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255HX |
| 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% |
1898
352.9 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
4160
775.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4954
80.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8351
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4229
4.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
18543
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (Q)
|
86% |
3905
313.8 IPS |
|
|
Face Detection (SP)
|
100% |
4622
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
7232
86.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5403
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1544
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8424
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13679
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8196
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
12796
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4011
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
522
697.1 IPS |
|
|
Text Classification (Q)
|
97% |
964
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
1994
40.1 IPS |
