HP OMEN by HP 25L Gaming Desktop GT14-2xxx
Geekbench AI Score
7285
Single Precision Score
7435
Half Precision Score
15962
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 12:37 PM |
| Views | 3 |
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% |
4734
880.4 IPS |
|
|
Image Classification (HP)
|
100% |
4654
865.5 IPS |
|
|
Image Classification (Q)
|
100% |
10001
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5479
88.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6095
98.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11191
181.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7963
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
8100
9.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
28954
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
4442
352.3 IPS |
|
|
Object Detection (HP)
|
100% |
4515
358.1 IPS |
|
|
Object Detection (Q)
|
88% |
10280
824.1 IPS |
|
|
Face Detection (SP)
|
100% |
13489
160.3 IPS |
|
|
Face Detection (HP)
|
100% |
13745
163.3 IPS |
|
|
Face Detection (Q)
|
100% |
24348
289.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11493
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11386
87.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
27969
217.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23230
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23952
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
89683
115.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5541
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5604
206.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16923
626.7 IPS |
|
|
Text Classification (SP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
92% |
5500
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5813
100.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5928
102.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5671
97.7 IPS |
