HP OMEN Gaming Laptop 16-am0xxx
Geekbench AI Score
4169
Single Precision Score
1513
Half Precision Score
7115
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 09:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3379
628.5 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (Q)
|
99% |
5694
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9113
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7252
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4175
4.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
23598
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3036
240.8 IPS |
|
|
Object Detection (HP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (Q)
|
86% |
5940
477.4 IPS |
|
|
Face Detection (SP)
|
100% |
8288
98.5 IPS |
|
|
Face Detection (HP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
8952
106.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9071
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1972
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14542
116.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16869
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10194
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17463
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2853
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5048
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
707
944.2 IPS |
|
|
Text Classification (Q)
|
97% |
1354
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2093
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2945
59.2 IPS |
