HP Laptop 14 HP HP Laptop 14-dq2xxx
Geekbench AI Score
2364
Single Precision Score
3516
Half Precision Score
5469
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | September 26 2025 12:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Laptop 14-dq2xxx |
| Motherboard | HP 87FD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
2114
393.2 IPS |
|
|
Image Classification (Q)
|
99% |
2952
550.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3459
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4192
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4847
5.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
3613
4.22 IPS |
|
|
Pose Estimation (Q)
|
97% |
14609
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
99% |
2147
170.3 IPS |
|
|
Object Detection (Q)
|
90% |
3530
282.3 IPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
6298
74.8 IPS |
|
|
Face Detection (Q)
|
100% |
10237
121.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4992
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8369
64.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
11617
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12212
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20997
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34007
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3277
121.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6465
239.4 IPS |
|
|
Text Classification (SP)
|
71% |
832
1.20 KIPS |
|
|
Text Classification (HP)
|
71% |
941
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
962
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1493
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1494
25.8 IPS |
