HP OMEN by HP Laptop 17-ck2xxx
Geekbench ML Score
17906
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 13 2025 12:40 AM |
| Views | 7 |
System Information
| 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 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 |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8396
1.57 KIPS |
|
|
Image Classification (F16)
|
100% |
8857
1.66 KIPS |
|
|
Image Classification (I8)
|
100% |
6714
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12726
212.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
12643
211.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
11538
192.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
129565
156.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
130902
158.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
119434
144.6 IPS |
|
|
Object Detection (F32)
|
100% |
6092
454.8 IPS |
|
|
Object Detection (F16)
|
100% |
6078
453.7 IPS |
|
|
Object Detection (I8)
|
63% |
5437
405.9 IPS |
|
|
Face Detection (F32)
|
100% |
26141
310.8 IPS |
|
|
Face Detection (F16)
|
100% |
27850
331.1 IPS |
|
|
Face Detection (I8)
|
89% |
23484
279.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
57012
442.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
52020
403.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
40483
313.9 IPS |
|
|
Style Transfer (F32)
|
100% |
202995
267.0 IPS |
|
|
Style Transfer (F16)
|
100% |
204947
269.6 IPS |
|
|
Style Transfer (I8)
|
98% |
181724
239.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26656
952.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27056
966.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
25442
908.6 IPS |
|
|
Text Classification (F32)
|
100% |
2639
3.79 KIPS |
|
|
Text Classification (F16)
|
100% |
2619
3.76 KIPS |
|
|
Text Classification (I8)
|
98% |
1435
2.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
4018
73.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3864
71.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2349
43.2 IPS |
