Dell Inc. Inspiron N5030
Geekbench AI Score
43
Single Precision Score
44
Half Precision Score
83
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 03 2025 04:46 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo P7350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Dell Inc. Inspiron N5030 |
| Motherboard | Dell Inc. 0N7J7M |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo P7350 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 6 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
33
6.20 IPS |
|
|
Image Classification (HP)
|
100% |
27
5.00 IPS |
|
|
Image Classification (Q)
|
96% |
96
17.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
34
0.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
38
0.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
91
1.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
61
0.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
133
0.16 IPS |
|
|
Object Detection (SP)
|
100% |
19
1.51 IPS |
|
|
Object Detection (HP)
|
100% |
16
1.26 IPS |
|
|
Object Detection (Q)
|
58% |
28
3.07 IPS |
|
|
Face Detection (SP)
|
100% |
67
0.79 IPS |
|
|
Face Detection (HP)
|
100% |
51
0.61 IPS |
|
|
Face Detection (Q)
|
96% |
79
0.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
42
0.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
71
0.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
189
1.50 IPS |
|
|
Style Transfer (SP)
|
100% |
137
0.18 IPS |
|
|
Style Transfer (HP)
|
100% |
194
0.25 IPS |
|
|
Style Transfer (Q)
|
87% |
215
0.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17
0.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31
1.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
78
2.89 IPS |
|
|
Text Classification (SP)
|
100% |
60
79.5 IPS |
|
|
Text Classification (HP)
|
100% |
34
45.5 IPS |
|
|
Text Classification (Q)
|
97% |
17
22.7 IPS |
|
|
Machine Translation (SP)
|
100% |
53
0.91 IPS |
|
|
Machine Translation (HP)
|
100% |
39
0.68 IPS |
|
|
Machine Translation (Q)
|
68% |
115
2.23 IPS |
