HP OMEN by HP Obelisk Desktop 875-1xxx
Geekbench AI Score
3283
Single Precision Score
1402
Half Precision Score
4815
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 07:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP Obelisk Desktop 875-1xxx |
| Motherboard | HP 8509 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2809
522.5 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (Q)
|
96% |
4352
812.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
5296
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5932
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5225
6.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
11382
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (Q)
|
58% |
2804
306.4 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (Q)
|
96% |
6660
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7621
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1858
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9467
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14507
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11903
15.3 IPS |
|
|
Style Transfer (Q)
|
87% |
13672
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2398
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4042
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1278
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2047
39.6 IPS |
