HP OMEN by HP 25L Gaming Desktop GT14-2xxx
Geekbench AI Score
6980
Single Precision Score
7374
Half Precision Score
15936
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 12:34 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% |
4773
887.7 IPS |
|
|
Image Classification (HP)
|
100% |
4757
884.6 IPS |
|
|
Image Classification (Q)
|
100% |
9723
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5865
95.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5767
93.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11348
184.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8092
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
8109
9.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
29850
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
4325
343.0 IPS |
|
|
Object Detection (HP)
|
100% |
4499
356.8 IPS |
|
|
Object Detection (Q)
|
88% |
9991
800.9 IPS |
|
|
Face Detection (SP)
|
100% |
8382
99.6 IPS |
|
|
Face Detection (HP)
|
100% |
13467
160.0 IPS |
|
|
Face Detection (Q)
|
100% |
24682
293.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11395
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11361
87.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
28021
217.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23230
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23805
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
87626
113.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5482
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5552
205.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16660
617.0 IPS |
|
|
Text Classification (SP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
92% |
5453
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5805
100.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5945
102.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5832
100.5 IPS |
