Dell Inc. Inspiron 3646
Geekbench AI Score
105
Single Precision Score
61
Half Precision Score
132
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | October 30 2025 08:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Celeron(R) CPU J1800 @ 2.41GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Inspiron 3646 |
| Motherboard | Dell Inc. 0KXN37 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Celeron(R) CPU J1800 @ 2.41GHz |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 55 Stepping 8 |
| Base Frequency | 2.41 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
62
11.6 IPS |
|
|
Image Classification (HP)
|
100% |
31
5.68 IPS |
|
|
Image Classification (Q)
|
96% |
93
17.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
58
0.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
43
0.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
76
1.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
123
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
77
0.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
179
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
64
5.10 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.65 IPS |
|
|
Object Detection (Q)
|
58% |
68
7.44 IPS |
|
|
Face Detection (SP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (HP)
|
100% |
97
1.15 IPS |
|
|
Face Detection (Q)
|
96% |
229
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
170
1.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
89
0.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
209
1.66 IPS |
|
|
Style Transfer (SP)
|
100% |
315
0.41 IPS |
|
|
Style Transfer (HP)
|
100% |
233
0.30 IPS |
|
|
Style Transfer (Q)
|
87% |
398
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74
2.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49
1.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
95
3.51 IPS |
|
|
Text Classification (SP)
|
100% |
60
79.9 IPS |
|
|
Text Classification (HP)
|
100% |
43
57.7 IPS |
|
|
Text Classification (Q)
|
97% |
66
88.7 IPS |
|
|
Machine Translation (SP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (HP)
|
100% |
52
0.89 IPS |
|
|
Machine Translation (Q)
|
68% |
159
3.06 IPS |
