HP HP Laptop 14-dq0xxx
Geekbench AI Score
168
Single Precision Score
202
Half Precision Score
133
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 04 2025 07:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 14-dq0xxx |
| Motherboard | HP 864D |
| Power Plan | CPU Lab - Battery Testing |
| CPU Information | |
|---|---|
| Name | Intel Celeron N4120 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
100% |
53
9.85 IPS |
|
|
Image Segmentation (SP)
|
100% |
108
1.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
118
1.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
414
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
655
0.76 IPS |
|
|
Pose Estimation (Q)
|
97% |
379
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
53
4.20 IPS |
|
|
Object Detection (HP)
|
98% |
72
5.75 IPS |
|
|
Object Detection (Q)
|
86% |
50
3.98 IPS |
|
|
Face Detection (SP)
|
100% |
175
2.08 IPS |
|
|
Face Detection (HP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (Q)
|
97% |
153
1.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
98% |
322
2.49 IPS |
|
|
Depth Estimation (Q)
|
77% |
218
1.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1180
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1789
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
985
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
178
6.58 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.7 IPS |
|
|
Text Classification (HP)
|
100% |
72
96.5 IPS |
|
|
Text Classification (Q)
|
97% |
73
97.8 IPS |
|
|
Machine Translation (SP)
|
100% |
80
1.37 IPS |
|
|
Machine Translation (HP)
|
100% |
83
1.43 IPS |
|
|
Machine Translation (Q)
|
70% |
51
0.95 IPS |
