HP OMEN by HP Gaming Laptop 16-wf1xxx
Geekbench AI Score
92
Single Precision Score
87
Half Precision Score
85
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | May 27 2025 03:26 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | HP OMEN by HP Gaming Laptop 16-wf1xxx |
| Motherboard | HP 8C76 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
50
9.30 IPS |
|
|
Image Classification (HP)
|
100% |
40
7.52 IPS |
|
|
Image Classification (Q)
|
99% |
62
11.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
209
3.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
1054
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
990
1.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
963
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
42
3.31 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.51 IPS |
|
|
Object Detection (Q)
|
85% |
32
2.54 IPS |
|
|
Face Detection (SP)
|
100% |
121
1.44 IPS |
|
|
Face Detection (HP)
|
100% |
123
1.46 IPS |
|
|
Face Detection (Q)
|
97% |
122
1.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
132
1.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
134
1.03 IPS |
|
|
Depth Estimation (Q)
|
63% |
116
1.09 IPS |
|
|
Style Transfer (SP)
|
100% |
1224
1.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1235
1.59 IPS |
|
|
Style Transfer (Q)
|
98% |
1496
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72
2.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
73
2.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
70
2.59 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.17 IPS |
|
|
Text Classification (HP)
|
100% |
4
5.63 IPS |
|
|
Text Classification (Q)
|
92% |
4
5.19 IPS |
|
|
Machine Translation (SP)
|
100% |
14
0.24 IPS |
|
|
Machine Translation (HP)
|
100% |
14
0.23 IPS |
|
|
Machine Translation (Q)
|
58% |
9
0.21 IPS |
