HP OMEN by HP Laptop 17-ck0xxx
Geekbench AI Score
1768
Single Precision Score
526
Half Precision Score
3102
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 08:00 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% |
1014
188.5 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (Q)
|
99% |
2371
442.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
965
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
2122
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2867
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2539
2.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
11877
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
88% |
1268
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
2028
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
232
2.76 IPS |
|
|
Face Detection (Q)
|
97% |
3295
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3486
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
667
5.14 IPS |
|
|
Depth Estimation (Q)
|
76% |
5581
45.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7057
9.07 IPS |
|
|
Style Transfer (HP)
|
100% |
6387
8.21 IPS |
|
|
Style Transfer (Q)
|
98% |
14531
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2610
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.7 IPS |
|
|
Text Classification (Q)
|
97% |
995
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.17 IPS |
|
|
Machine Translation (Q)
|
60% |
1570
35.0 IPS |
