HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
2398
Single Precision Score
2271
Half Precision Score
5004
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | May 15 2025 08:50 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| 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% |
1787
332.3 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (Q)
|
100% |
3070
570.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2949
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2242
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2421
2.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
11342
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1647
130.6 IPS |
|
|
Object Detection (HP)
|
100% |
940
74.5 IPS |
|
|
Object Detection (Q)
|
88% |
2724
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (Q)
|
100% |
6172
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7258
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4316
33.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9196
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9000
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6662
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
23028
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1093
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4723
174.9 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2539
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2666
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2081
35.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2247
38.7 IPS |
