HP OMEN by HP 45L Gaming Desktop GT22-2xxx
Geekbench AI Score
5750
Single Precision Score
1674
Half Precision Score
8794
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | vasharclight |
| Upload Date | May 08 2025 12:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP 45L Gaming Desktop GT22-2xxx |
| Motherboard | HP 8A96 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4555
847.0 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.3 IPS |
|
|
Image Classification (Q)
|
99% |
7598
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4229
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11346
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4912
5.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
36179
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
4285
339.9 IPS |
|
|
Object Detection (HP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (Q)
|
86% |
8507
683.7 IPS |
|
|
Face Detection (SP)
|
100% |
12382
147.1 IPS |
|
|
Face Detection (HP)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
12222
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13166
101.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2249
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18954
151.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25258
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12441
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28085
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2297
84.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5488
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
1862
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
741
989.6 IPS |
|
|
Text Classification (Q)
|
97% |
1836
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4268
85.8 IPS |
