Dell Inc. Latitude E6410
Geekbench AI Score
166
Single Precision Score
128
Half Precision Score
235
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | techidiot |
| Upload Date | September 21 2025 05:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-520M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Dell Inc. Latitude E6410 |
| Motherboard | Dell Inc. 0667CC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-520M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 37 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (HP)
|
100% |
52
9.71 IPS |
|
|
Image Classification (Q)
|
96% |
133
24.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
80
1.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
71
1.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
145
2.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
202
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
299
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.34 IPS |
|
|
Object Detection (HP)
|
100% |
77
6.07 IPS |
|
|
Object Detection (Q)
|
58% |
139
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (HP)
|
100% |
195
2.31 IPS |
|
|
Face Detection (Q)
|
96% |
409
4.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
201
1.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
390
3.11 IPS |
|
|
Style Transfer (SP)
|
100% |
519
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
528
0.68 IPS |
|
|
Style Transfer (Q)
|
87% |
736
0.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
111
4.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
190
7.03 IPS |
|
|
Text Classification (SP)
|
100% |
137
183.0 IPS |
|
|
Text Classification (HP)
|
100% |
90
119.6 IPS |
|
|
Text Classification (Q)
|
97% |
111
148.2 IPS |
|
|
Machine Translation (SP)
|
100% |
191
3.29 IPS |
|
|
Machine Translation (HP)
|
100% |
107
1.84 IPS |
|
|
Machine Translation (Q)
|
68% |
259
5.00 IPS |
