HP OMEN by HP Laptop 17-ck2xxx
Geekbench AI Score
2777
Single Precision Score
4960
Half Precision Score
2193
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 02:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN by HP Laptop 17-ck2xxx |
| Motherboard | HP 8BAD |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1289
239.8 IPS |
|
|
Image Classification (HP)
|
99% |
2103
392.3 IPS |
|
|
Image Classification (Q)
|
100% |
1092
203.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4093
66.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2130
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14063
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
37969
44.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12309
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1221
96.8 IPS |
|
|
Object Detection (HP)
|
100% |
2824
224.0 IPS |
|
|
Object Detection (Q)
|
85% |
1128
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6290
74.7 IPS |
|
|
Face Detection (Q)
|
97% |
2908
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4903
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9784
75.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4059
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24282
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
65770
84.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21699
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5308
196.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
441
589.2 IPS |
|
|
Text Classification (HP)
|
99% |
640
854.8 IPS |
|
|
Text Classification (Q)
|
97% |
269
359.7 IPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (Q)
|
70% |
330
6.19 IPS |
