HP OMEN 25L Desktop GT12-0xxx
Geekbench AI Score
2922
Single Precision Score
1299
Half Precision Score
4549
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 04:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN 25L Desktop GT12-0xxx |
| Motherboard | HP 8704 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.8 IPS |
|
|
Image Classification (Q)
|
96% |
4224
788.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
5096
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5502
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3653
4.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
9479
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
2570
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.4 IPS |
|
|
Object Detection (Q)
|
58% |
2753
300.8 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
6606
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7517
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1988
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8475
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9436
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6345
8.16 IPS |
|
|
Style Transfer (Q)
|
87% |
11156
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1923
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4198
155.6 IPS |
|
|
Text Classification (SP)
|
100% |
1736
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1265
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2038
39.4 IPS |
