Dell Inc. Inspiron 3252
Geekbench AI Score
179
Single Precision Score
89
Half Precision Score
208
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | 07VFDInLCD |
| Upload Date | April 24 2025 04:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium N3700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Dell Inc. Inspiron 3252 |
| Motherboard | Dell Inc. 0WVYMC |
| Power Plan | Dell |
| 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% |
119
22.1 IPS |
|
|
Image Classification (HP)
|
100% |
41
7.70 IPS |
|
|
Image Classification (Q)
|
96% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
62
1.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
115
1.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
236
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
139
0.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
328
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.94 IPS |
|
|
Object Detection (HP)
|
100% |
47
3.74 IPS |
|
|
Object Detection (Q)
|
58% |
120
13.1 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
134
1.59 IPS |
|
|
Face Detection (Q)
|
96% |
373
4.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
314
2.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
135
1.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
356
2.83 IPS |
|
|
Style Transfer (SP)
|
100% |
587
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
412
0.53 IPS |
|
|
Style Transfer (Q)
|
87% |
675
0.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
80
2.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
154
5.69 IPS |
|
|
Text Classification (SP)
|
100% |
87
116.3 IPS |
|
|
Text Classification (HP)
|
100% |
54
71.7 IPS |
|
|
Text Classification (Q)
|
97% |
73
98.2 IPS |
|
|
Machine Translation (SP)
|
100% |
193
3.33 IPS |
|
|
Machine Translation (HP)
|
100% |
59
1.01 IPS |
|
|
Machine Translation (Q)
|
68% |
200
3.86 IPS |
