HP OMEN by HP Gaming Laptop 16-wf0xxx
Geekbench AI Score
3455
Single Precision Score
1266
Half Precision Score
5420
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-wf0xxx |
| Motherboard | HP 8BAB |
| 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 |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2795
519.8 IPS |
|
|
Image Classification (HP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (Q)
|
99% |
4884
911.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2630
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6258
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3644
4.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
21088
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
86% |
5049
405.8 IPS |
|
|
Face Detection (SP)
|
100% |
5743
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7423
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8014
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1758
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11626
92.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15102
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9067
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17494
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2553
94.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3519
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
639
852.4 IPS |
|
|
Text Classification (Q)
|
97% |
1213
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2484
49.9 IPS |
