Hewlett-Packard HP Pavilion dv4 Notebook PC
Geekbench AI Score
53
Single Precision Score
43
Half Precision Score
91
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | October 24 2025 06:49 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-330M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Pavilion dv4 Notebook PC |
| Motherboard | Hewlett-Packard 140A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-330M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 37 Stepping 2 |
| Base Frequency | 2.13 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
27
5.11 IPS |
|
|
Image Classification (HP)
|
100% |
20
3.78 IPS |
|
|
Image Classification (Q)
|
96% |
52
9.77 IPS |
|
|
Image Segmentation (SP)
|
100% |
25
0.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
30
0.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
59
0.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
65
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
62
0.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
130
0.15 IPS |
|
|
Object Detection (SP)
|
100% |
28
2.22 IPS |
|
|
Object Detection (HP)
|
100% |
22
1.78 IPS |
|
|
Object Detection (Q)
|
58% |
42
4.55 IPS |
|
|
Face Detection (SP)
|
100% |
88
1.05 IPS |
|
|
Face Detection (HP)
|
100% |
64
0.76 IPS |
|
|
Face Detection (Q)
|
96% |
137
1.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
82
0.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
66
0.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
136
1.08 IPS |
|
|
Style Transfer (SP)
|
100% |
183
0.24 IPS |
|
|
Style Transfer (HP)
|
100% |
178
0.23 IPS |
|
|
Style Transfer (Q)
|
87% |
297
0.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39
1.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34
1.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
94
3.50 IPS |
|
|
Text Classification (SP)
|
100% |
43
57.6 IPS |
|
|
Text Classification (HP)
|
100% |
28
37.6 IPS |
|
|
Text Classification (Q)
|
97% |
43
58.2 IPS |
|
|
Machine Translation (SP)
|
100% |
65
1.12 IPS |
|
|
Machine Translation (HP)
|
100% |
40
0.68 IPS |
|
|
Machine Translation (Q)
|
68% |
110
2.12 IPS |
