HP OMEN by HP 25L Gaming Desktop GT14-2xxx
Geekbench AI Score
7267
Single Precision Score
7400
Half Precision Score
16030
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 12:18 PM |
| Views | 6 |
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% |
4698
873.8 IPS |
|
|
Image Classification (HP)
|
100% |
4693
872.7 IPS |
|
|
Image Classification (Q)
|
100% |
10030
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5578
90.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6134
99.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11208
181.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7912
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
8258
9.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
28737
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
4421
350.7 IPS |
|
|
Object Detection (HP)
|
100% |
4544
360.4 IPS |
|
|
Object Detection (Q)
|
88% |
10605
850.1 IPS |
|
|
Face Detection (SP)
|
100% |
13444
159.7 IPS |
|
|
Face Detection (HP)
|
100% |
13702
162.8 IPS |
|
|
Face Detection (Q)
|
100% |
24782
294.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11665
89.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11287
87.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27926
217.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22879
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24238
31.2 IPS |
|
|
Style Transfer (Q)
|
98% |
89325
115.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5532
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5469
201.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16793
621.9 IPS |
|
|
Text Classification (SP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
92% |
5457
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5601
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5686
97.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5773
99.4 IPS |
