HP OMEN by HP Laptop 17-ck2xxx
Geekbench AI Score
25113
Single Precision Score
38561
Half Precision Score
19107
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | PP_5091 |
| Upload Date | October 17 2025 03:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN by HP Laptop 17-ck2xxx |
| Motherboard | HP 8BAD |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9155
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
15057
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
8050
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18605
301.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24510
397.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16726
272.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
139921
163.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
380504
444.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
128474
150.5 IPS |
|
|
Object Detection (SP)
|
100% |
12648
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
18754
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
10149
817.0 IPS |
|
|
Face Detection (SP)
|
100% |
35271
419.1 IPS |
|
|
Face Detection (HP)
|
100% |
49846
592.3 IPS |
|
|
Face Detection (Q)
|
97% |
29994
357.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
62604
482.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102562
792.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
47146
376.9 IPS |
|
|
Style Transfer (SP)
|
100% |
257629
331.2 IPS |
|
|
Style Transfer (HP)
|
100% |
619815
796.8 IPS |
|
|
Style Transfer (Q)
|
98% |
224727
289.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38330
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48190
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27952
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3079
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3774
5.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1775
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4931
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4790
82.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2344
44.0 IPS |
