HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
2469
Single Precision Score
1142
Half Precision Score
5324
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | May 15 2025 08:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN by HP Laptop 16-b0xxx |
| Motherboard | HP 88F5 |
| 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% |
1858
345.6 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
99% |
6067
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2557
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3550
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3037
3.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
14715
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.1 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (Q)
|
86% |
5007
402.4 IPS |
|
|
Face Detection (SP)
|
100% |
4063
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
1222
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
7564
90.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5117
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1617
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10953
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8410
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7250
9.32 IPS |
|
|
Style Transfer (Q)
|
98% |
17254
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1443
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3099
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
1270
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.6 IPS |
|
|
Text Classification (Q)
|
97% |
1311
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2757
55.4 IPS |
