HP OMEN by HP 25L Gaming Desktop GT14-2xxx
Geekbench AI Score
7153
Single Precision Score
6935
Half Precision Score
15633
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 12:07 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% |
4483
833.7 IPS |
|
|
Image Classification (HP)
|
100% |
4625
860.1 IPS |
|
|
Image Classification (Q)
|
100% |
9973
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5935
96.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3511
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11099
179.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7886
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
8086
9.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
28228
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
4475
354.9 IPS |
|
|
Object Detection (HP)
|
100% |
4531
359.4 IPS |
|
|
Object Detection (Q)
|
88% |
10539
844.8 IPS |
|
|
Face Detection (SP)
|
100% |
13625
161.9 IPS |
|
|
Face Detection (HP)
|
100% |
13772
163.6 IPS |
|
|
Face Detection (Q)
|
100% |
24527
291.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11674
89.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11535
88.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
28338
220.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23343
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23742
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
89338
115.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5578
206.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5636
208.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16862
624.5 IPS |
|
|
Text Classification (SP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5096
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4708
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5263
90.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4964
85.5 IPS |
