HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
2263
Single Precision Score
3219
Half Precision Score
5254
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | May 15 2025 08:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
2228
414.3 IPS |
|
|
Image Classification (Q)
|
99% |
3885
724.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3435
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5495
89.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3686
4.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
2849
3.32 IPS |
|
|
Pose Estimation (Q)
|
97% |
11712
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1284
101.8 IPS |
|
|
Object Detection (HP)
|
98% |
2018
160.5 IPS |
|
|
Object Detection (Q)
|
90% |
3881
310.3 IPS |
|
|
Face Detection (SP)
|
100% |
4170
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
6284
74.7 IPS |
|
|
Face Detection (Q)
|
100% |
8816
104.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4341
33.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7098
54.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10094
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9857
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16884
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26870
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2974
109.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5672
210.0 IPS |
|
|
Text Classification (SP)
|
71% |
981
1.42 KIPS |
|
|
Text Classification (HP)
|
71% |
1114
1.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1090
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1119
19.3 IPS |
