HP OMEN by HP 25L Gaming Desktop GT14-2xxx
Geekbench AI Score
7199
Single Precision Score
7317
Half Precision Score
15785
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 12:10 PM |
| Views | 5 |
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% |
4511
839.0 IPS |
|
|
Image Classification (HP)
|
100% |
4497
836.4 IPS |
|
|
Image Classification (Q)
|
100% |
9952
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5475
88.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6077
98.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11159
180.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7849
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8193
9.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
28637
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4514
358.0 IPS |
|
|
Object Detection (HP)
|
100% |
4480
355.3 IPS |
|
|
Object Detection (Q)
|
88% |
10239
820.8 IPS |
|
|
Face Detection (SP)
|
100% |
13055
155.1 IPS |
|
|
Face Detection (HP)
|
100% |
13367
158.8 IPS |
|
|
Face Detection (Q)
|
100% |
24409
290.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11246
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11310
87.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
27667
215.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22987
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23869
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
90491
116.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5485
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5461
201.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16238
601.3 IPS |
|
|
Text Classification (SP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5416
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5845
100.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5713
98.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5490
94.6 IPS |
