HP OMEN by HP Laptop 17-ck2xxx
Geekbench AI Score
25463
Single Precision Score
40626
Half Precision Score
19866
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bcgrover |
| Upload Date | March 27 2025 05:26 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Laptop 17-ck2xxx |
| Motherboard | HP 8BAD |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9434
1.75 KIPS |
|
|
Image Classification (HP)
|
99% |
15499
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
8315
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18401
298.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26636
431.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17673
287.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
137897
160.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
389026
453.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
124607
146.0 IPS |
|
|
Object Detection (SP)
|
100% |
12084
958.5 IPS |
|
|
Object Detection (HP)
|
100% |
18506
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
10660
858.1 IPS |
|
|
Face Detection (SP)
|
100% |
37213
442.2 IPS |
|
|
Face Detection (HP)
|
100% |
51431
611.1 IPS |
|
|
Face Detection (Q)
|
97% |
31771
378.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
58380
449.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105572
815.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
46940
375.3 IPS |
|
|
Style Transfer (SP)
|
100% |
251236
323.0 IPS |
|
|
Style Transfer (HP)
|
100% |
663900
853.5 IPS |
|
|
Style Transfer (Q)
|
98% |
243556
314.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41651
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52139
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30535
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
4313
5.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1895
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5112
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5084
87.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2334
43.8 IPS |
