HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
14192
Single Precision Score
24104
Half Precision Score
9493
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | felixalex2025 |
| Upload Date | June 02 2025 04:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| 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% |
6055
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
9157
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
4215
783.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9824
159.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14709
238.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7949
129.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
66791
77.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
203175
237.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
56549
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
6859
544.1 IPS |
|
|
Object Detection (HP)
|
100% |
12462
988.5 IPS |
|
|
Object Detection (Q)
|
85% |
5486
441.7 IPS |
|
|
Face Detection (SP)
|
100% |
17689
210.2 IPS |
|
|
Face Detection (HP)
|
100% |
28185
334.9 IPS |
|
|
Face Detection (Q)
|
97% |
14115
168.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33799
260.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
65873
507.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
23665
189.4 IPS |
|
|
Style Transfer (SP)
|
100% |
118063
151.8 IPS |
|
|
Style Transfer (HP)
|
100% |
303182
389.7 IPS |
|
|
Style Transfer (Q)
|
98% |
94308
121.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22778
841.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34285
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13505
500.1 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
3217
4.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1143
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1177
22.1 IPS |
