HP OMEN Gaming Laptop 16-am0xxx
Geekbench AI Score
5429
Single Precision Score
5758
Half Precision Score
12353
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 09:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Gaming Laptop 16-am0xxx |
| Motherboard | HP 8D3F |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3770
701.1 IPS |
|
|
Image Classification (HP)
|
100% |
3662
681.1 IPS |
|
|
Image Classification (Q)
|
100% |
7995
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4572
74.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8293
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7076
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
7121
8.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
26937
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
3419
271.2 IPS |
|
|
Object Detection (HP)
|
100% |
3343
265.2 IPS |
|
|
Object Detection (Q)
|
88% |
8546
685.1 IPS |
|
|
Face Detection (SP)
|
100% |
8584
102.0 IPS |
|
|
Face Detection (HP)
|
100% |
8747
103.9 IPS |
|
|
Face Detection (Q)
|
100% |
20327
241.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6801
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8723
67.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
21569
167.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20243
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19112
24.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43327
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4484
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4488
165.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13806
511.3 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (Q)
|
92% |
4786
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4517
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4321
74.4 IPS |
