HP OMEN by HP 25L Gaming Desktop GT14-2xxx
Geekbench AI Score
7286
Single Precision Score
7441
Half Precision Score
15931
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 12:35 PM |
| Views | 8 |
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% |
4648
864.4 IPS |
|
|
Image Classification (HP)
|
100% |
4514
839.4 IPS |
|
|
Image Classification (Q)
|
100% |
10020
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5825
94.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6104
98.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11179
181.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7800
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
8690
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
28688
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4400
349.0 IPS |
|
|
Object Detection (HP)
|
100% |
4449
352.9 IPS |
|
|
Object Detection (Q)
|
88% |
10280
824.1 IPS |
|
|
Face Detection (SP)
|
100% |
13245
157.4 IPS |
|
|
Face Detection (HP)
|
100% |
13308
158.1 IPS |
|
|
Face Detection (Q)
|
100% |
24082
286.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11389
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11464
88.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
27996
217.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23344
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24106
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
88490
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16677
617.6 IPS |
|
|
Text Classification (SP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
92% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5926
102.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5932
102.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5854
100.8 IPS |
