HP OMEN by HP 25L Gaming Desktop GT14-2xxx
Geekbench AI Score
7416
Single Precision Score
7402
Half Precision Score
15981
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 12:25 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | HP OMEN by HP 25L Gaming Desktop GT14-2xxx |
| Motherboard | HP 8B1D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4503
837.5 IPS |
|
|
Image Classification (HP)
|
100% |
4600
855.4 IPS |
|
|
Image Classification (Q)
|
100% |
9967
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5985
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6104
99.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11112
180.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7915
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
8089
9.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
28502
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4510
357.8 IPS |
|
|
Object Detection (HP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (Q)
|
88% |
10486
840.6 IPS |
|
|
Face Detection (SP)
|
100% |
13720
163.0 IPS |
|
|
Face Detection (HP)
|
100% |
13770
163.6 IPS |
|
|
Face Detection (Q)
|
100% |
25189
299.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11652
89.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11565
89.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
28529
221.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24373
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22795
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
88662
114.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5675
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16796
622.0 IPS |
|
|
Text Classification (SP)
|
100% |
4019
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
92% |
5522
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5891
101.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5808
100.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5556
95.7 IPS |
