HP OMEN by HP 25L Gaming Desktop GT14-2xxx
Geekbench AI Score
7022
Single Precision Score
7096
Half Precision Score
15143
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 21 2025 03:28 AM |
| Views | 9 |
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% |
4376
813.8 IPS |
|
|
Image Classification (HP)
|
100% |
4402
818.7 IPS |
|
|
Image Classification (Q)
|
100% |
8923
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5347
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5536
89.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10044
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7923
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
8741
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31896
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
4249
337.0 IPS |
|
|
Object Detection (HP)
|
100% |
4122
327.0 IPS |
|
|
Object Detection (Q)
|
88% |
9513
762.6 IPS |
|
|
Face Detection (SP)
|
100% |
12512
148.7 IPS |
|
|
Face Detection (HP)
|
100% |
12488
148.4 IPS |
|
|
Face Detection (Q)
|
100% |
23423
278.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11035
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11077
85.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
26959
209.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25795
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26433
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
90124
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5534
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5558
205.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16198
599.9 IPS |
|
|
Text Classification (SP)
|
100% |
3946
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5407
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4761
82.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4717
81.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4680
80.6 IPS |
