Hewlett-Packard HP Pavilion dv6 Notebook PC
Geekbench AI Score
369
Single Precision Score
227
Half Precision Score
320
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 12 2025 07:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2410M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Hewlett-Packard HP Pavilion dv6 Notebook PC |
| Motherboard | Hewlett-Packard 3388 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2410M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.2 IPS |
|
|
Image Classification (Q)
|
96% |
209
39.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
204
3.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
332
0.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
409
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.65 IPS |
|
|
Object Detection (Q)
|
58% |
156
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (Q)
|
96% |
529
6.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
560
4.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
348
2.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
528
4.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1186
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
947
1.22 IPS |
|
|
Style Transfer (Q)
|
87% |
1015
1.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
210
7.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
260
9.63 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.4 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.6 IPS |
|
|
Text Classification (Q)
|
97% |
157
210.7 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.85 IPS |
|
|
Machine Translation (Q)
|
68% |
364
7.02 IPS |
