HP OMEN by HP 25L Gaming Desktop GT14-2xxx
Geekbench AI Score
6688
Single Precision Score
6779
Half Precision Score
14930
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 11:59 AM |
| Views | 2 |
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% |
4364
811.6 IPS |
|
|
Image Classification (HP)
|
100% |
4475
832.3 IPS |
|
|
Image Classification (Q)
|
100% |
9194
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5647
91.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5774
93.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10249
166.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7784
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
8003
9.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
28436
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4174
331.1 IPS |
|
|
Object Detection (HP)
|
100% |
4306
341.5 IPS |
|
|
Object Detection (Q)
|
88% |
9735
780.4 IPS |
|
|
Face Detection (SP)
|
100% |
8571
101.8 IPS |
|
|
Face Detection (HP)
|
100% |
13550
161.0 IPS |
|
|
Face Detection (Q)
|
100% |
19019
226.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11495
88.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6877
53.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27564
214.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19831
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23609
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88385
114.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5617
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16237
601.3 IPS |
|
|
Text Classification (SP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
92% |
5716
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5032
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4986
85.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4908
84.5 IPS |
