HP OMEN by HP Desktop PC 880-p1xx
Geekbench AI Score
833
Single Precision Score
506
Half Precision Score
1251
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 08:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Desktop PC 880-p1xx |
| Motherboard | HP 8437 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700F |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
459
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.9 IPS |
|
|
Image Classification (Q)
|
96% |
1122
209.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
324
5.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
1423
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2075
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1571
1.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
3447
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
58% |
501
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
674
8.01 IPS |
|
|
Face Detection (HP)
|
100% |
571
6.78 IPS |
|
|
Face Detection (Q)
|
96% |
1417
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1252
9.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
1122
8.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
1994
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6646
8.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3028
3.89 IPS |
|
|
Style Transfer (Q)
|
87% |
4349
5.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1028
38.1 IPS |
|
|
Text Classification (SP)
|
100% |
449
598.8 IPS |
|
|
Text Classification (HP)
|
100% |
280
374.0 IPS |
|
|
Text Classification (Q)
|
97% |
372
498.1 IPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (Q)
|
68% |
727
14.0 IPS |
