Dell Inc. Latitude 3140
Geekbench AI Score
482
Single Precision Score
280
Half Precision Score
1036
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | maf654321 |
| Upload Date | April 29 2025 08:09 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | Dell Inc. Latitude 3140 |
| Motherboard | Dell Inc. 0NH985 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.3 IPS |
|
|
Image Classification (Q)
|
99% |
573
107.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
813
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
753
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
582
0.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
1870
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
86% |
653
52.5 IPS |
|
|
Face Detection (SP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (HP)
|
100% |
280
3.32 IPS |
|
|
Face Detection (Q)
|
97% |
1003
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
944
7.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
328
2.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
1941
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1827
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1418
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
3628
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
813
30.1 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.7 IPS |
|
|
Text Classification (HP)
|
100% |
266
354.9 IPS |
|
|
Text Classification (Q)
|
97% |
610
817.7 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (HP)
|
100% |
176
3.04 IPS |
|
|
Machine Translation (Q)
|
65% |
717
14.4 IPS |
