HP OMEN by HP Laptop 17-ck2xxx
Geekbench AI Score
1891
Single Precision Score
634
Half Precision Score
3340
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 02:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| 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% |
1453
270.1 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (Q)
|
99% |
2476
461.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
4434
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4352
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1936
2.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
12144
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
86% |
2519
202.5 IPS |
|
|
Face Detection (SP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
660
7.84 IPS |
|
|
Face Detection (Q)
|
97% |
4105
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4327
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
845
6.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
6960
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9347
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
4713
6.06 IPS |
|
|
Style Transfer (Q)
|
98% |
13000
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1353
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1987
73.6 IPS |
|
|
Text Classification (SP)
|
100% |
490
654.2 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.3 IPS |
|
|
Text Classification (Q)
|
97% |
537
718.8 IPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (Q)
|
65% |
1299
26.1 IPS |
