HP OMEN by HP Gaming Laptop 16-wf1xxx
Geekbench AI Score
3911
Single Precision Score
1387
Half Precision Score
6415
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 07:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-wf1xxx |
| Motherboard | HP 8C77 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3069
570.6 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (Q)
|
99% |
5513
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
904
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3370
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6659
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3925
4.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
22760
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2854
226.3 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
5560
446.8 IPS |
|
|
Face Detection (SP)
|
100% |
7799
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
8648
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1845
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14351
114.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16400
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9553
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22329
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2706
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1845
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4142
153.4 IPS |
|
|
Text Classification (SP)
|
100% |
1451
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.5 IPS |
|
|
Text Classification (Q)
|
97% |
1545
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2831
56.9 IPS |
