HP OMEN by HP Gaming Laptop 16-wf1xxx
Geekbench AI Score
77
Single Precision Score
76
Half Precision Score
91
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | May 27 2025 03:27 AM |
| Views | 15 |
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% |
21
3.85 IPS |
|
|
Image Classification (HP)
|
100% |
21
3.93 IPS |
|
|
Image Classification (Q)
|
99% |
22
4.04 IPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
103
1.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
797
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
793
0.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
816
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
41
3.26 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.15 IPS |
|
|
Object Detection (Q)
|
85% |
36
2.86 IPS |
|
|
Face Detection (SP)
|
100% |
136
1.62 IPS |
|
|
Face Detection (HP)
|
100% |
118
1.40 IPS |
|
|
Face Detection (Q)
|
97% |
128
1.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
139
1.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
132
1.02 IPS |
|
|
Depth Estimation (Q)
|
63% |
113
1.06 IPS |
|
|
Style Transfer (SP)
|
100% |
1374
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1342
1.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1640
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69
2.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
68
2.51 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.14 IPS |
|
|
Text Classification (HP)
|
100% |
4
5.20 IPS |
|
|
Text Classification (Q)
|
92% |
6
8.01 IPS |
|
|
Machine Translation (SP)
|
100% |
14
0.24 IPS |
|
|
Machine Translation (HP)
|
100% |
13
0.22 IPS |
|
|
Machine Translation (Q)
|
58% |
63
1.49 IPS |
