HP OMEN Gaming Laptop 16-am0xxx
Geekbench AI Score
19582
Single Precision Score
35879
Half Precision Score
14585
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 07:30 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Gaming Laptop 16-am0xxx |
| Motherboard | HP 8D3F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7536
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
15346
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
6032
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15465
250.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21520
348.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14178
230.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
105549
123.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
329092
384.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
97159
113.8 IPS |
|
|
Object Detection (SP)
|
100% |
9430
748.0 IPS |
|
|
Object Detection (HP)
|
100% |
18003
1.43 KIPS |
|
|
Object Detection (Q)
|
83% |
7893
637.7 IPS |
|
|
Face Detection (SP)
|
100% |
25943
308.3 IPS |
|
|
Face Detection (HP)
|
100% |
42480
504.8 IPS |
|
|
Face Detection (Q)
|
97% |
19930
237.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
45823
353.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
82842
638.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
36676
292.7 IPS |
|
|
Style Transfer (SP)
|
100% |
150834
193.9 IPS |
|
|
Style Transfer (HP)
|
100% |
460205
591.6 IPS |
|
|
Style Transfer (Q)
|
98% |
134261
173.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27467
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53226
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22339
827.2 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4331
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1826
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4840
83.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1660
31.1 IPS |
