Dell Inc. Inspiron 3252
Geekbench AI Score
116
Single Precision Score
124
Half Precision Score
105
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | 07VFDInLCD |
| Upload Date | June 14 2025 05:43 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Pentium(R) CPU N3700 @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 3252 |
| Motherboard | Dell Inc. 0WVYMC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Pentium N3700 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 76 Stepping 3 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
85
15.8 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.3 IPS |
|
|
Image Classification (Q)
|
100% |
90
16.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
109
1.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
154
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
62
4.96 IPS |
|
|
Object Detection (HP)
|
100% |
63
5.00 IPS |
|
|
Object Detection (Q)
|
87% |
53
4.23 IPS |
|
|
Face Detection (SP)
|
100% |
233
2.77 IPS |
|
|
Face Detection (HP)
|
100% |
239
2.84 IPS |
|
|
Face Detection (Q)
|
97% |
182
2.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
166
1.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
186
1.43 IPS |
|
|
Depth Estimation (Q)
|
81% |
144
1.14 IPS |
|
|
Style Transfer (SP)
|
100% |
374
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
336
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
468
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
85
3.14 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
74
2.74 IPS |
|
|
Text Classification (SP)
|
100% |
33
43.8 IPS |
|
|
Text Classification (HP)
|
100% |
32
43.1 IPS |
|
|
Text Classification (Q)
|
91% |
21
28.6 IPS |
|
|
Machine Translation (SP)
|
100% |
82
1.42 IPS |
|
|
Machine Translation (HP)
|
100% |
109
1.88 IPS |
|
|
Machine Translation (Q)
|
100% |
109
1.88 IPS |
