Dell Inc. Inspiron 3252
Geekbench AI Score
178
Single Precision Score
88
Half Precision Score
223
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | 07VFDInLCD |
| Upload Date | June 13 2025 11:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium N3700 |
| 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% |
118
21.9 IPS |
|
|
Image Classification (HP)
|
100% |
41
7.54 IPS |
|
|
Image Classification (Q)
|
96% |
166
31.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
85
1.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
61
0.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
129
2.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
232
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
138
0.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
325
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.05 IPS |
|
|
Object Detection (HP)
|
100% |
47
3.75 IPS |
|
|
Object Detection (Q)
|
58% |
124
13.6 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.74 IPS |
|
|
Face Detection (HP)
|
100% |
133
1.58 IPS |
|
|
Face Detection (Q)
|
96% |
377
4.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
310
2.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
133
1.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
357
2.85 IPS |
|
|
Style Transfer (SP)
|
100% |
584
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
406
0.52 IPS |
|
|
Style Transfer (Q)
|
87% |
668
0.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
80
2.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
152
5.63 IPS |
|
|
Text Classification (SP)
|
100% |
87
116.5 IPS |
|
|
Text Classification (HP)
|
100% |
54
71.5 IPS |
|
|
Text Classification (Q)
|
97% |
126
169.2 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (HP)
|
100% |
58
1.01 IPS |
|
|
Machine Translation (Q)
|
68% |
209
4.04 IPS |
