HP OMEN by HP Laptop 17-ck0xxx
Geekbench AI Score
1770
Single Precision Score
532
Half Precision Score
3088
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 07:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Laptop 17-ck0xxx |
| Motherboard | HP 88F7 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1003
186.5 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (Q)
|
99% |
2394
446.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
940
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
2186
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2941
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2571
3.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
11904
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1154
91.5 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
88% |
1301
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
236
2.80 IPS |
|
|
Face Detection (Q)
|
97% |
3254
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3381
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
667
5.14 IPS |
|
|
Depth Estimation (Q)
|
76% |
5591
45.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7102
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
6313
8.12 IPS |
|
|
Style Transfer (Q)
|
98% |
14077
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1415
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1187
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2589
95.9 IPS |
|
|
Text Classification (SP)
|
100% |
1070
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
475
634.2 IPS |
|
|
Text Classification (Q)
|
97% |
954
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (Q)
|
60% |
1538
34.3 IPS |
