HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
1566
Single Precision Score
1576
Half Precision Score
1071
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | felixalex2025 |
| Upload Date | June 02 2025 04:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN by HP Laptop 16-b0xxx |
| Motherboard | HP 88FD |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (Q)
|
100% |
591
109.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
745
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4679
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5155
6.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
3208
3.76 IPS |
|
|
Object Detection (SP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (HP)
|
98% |
631
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
642
51.6 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1158
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2900
22.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3115
24.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2154
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9928
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13329
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7436
9.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2355
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
873
32.3 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
379
505.5 IPS |
|
|
Text Classification (Q)
|
97% |
376
503.9 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
70% |
361
6.77 IPS |
