Hewlett-Packard HP Pavilion 17 Notebook PC
Geekbench AI Score
182
Single Precision Score
99
Half Precision Score
238
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 25 2025 08:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium N3540 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Hewlett-Packard HP Pavilion 17 Notebook PC |
| Motherboard | Hewlett-Packard 227C |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Pentium N3540 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 55 Stepping 8 |
| Base Frequency | 2.16 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (HP)
|
100% |
43
7.98 IPS |
|
|
Image Classification (Q)
|
96% |
164
30.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
84
1.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
63
1.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
126
2.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
361
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.87 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.32 IPS |
|
|
Object Detection (Q)
|
58% |
137
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
144
1.72 IPS |
|
|
Face Detection (Q)
|
96% |
379
4.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
318
2.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
155
1.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
393
3.13 IPS |
|
|
Style Transfer (SP)
|
100% |
574
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
445
0.57 IPS |
|
|
Style Transfer (Q)
|
87% |
706
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
129
4.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
95
3.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
173
6.40 IPS |
|
|
Text Classification (SP)
|
100% |
104
138.2 IPS |
|
|
Text Classification (HP)
|
100% |
64
86.0 IPS |
|
|
Text Classification (Q)
|
97% |
147
197.5 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.40 IPS |
|
|
Machine Translation (HP)
|
100% |
65
1.13 IPS |
|
|
Machine Translation (Q)
|
68% |
217
4.20 IPS |
