Dell Inc. Latitude 3140
Geekbench AI Score
212
Single Precision Score
77
Half Precision Score
375
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maf654321 |
| Upload Date | April 29 2025 10:48 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Dell Inc. Latitude 3140 |
| Motherboard | Dell Inc. 0NH985 |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (HP)
|
100% |
23
4.29 IPS |
|
|
Image Classification (Q)
|
97% |
265
49.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
37
0.59 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
276
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
572
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
126
9.98 IPS |
|
|
Object Detection (HP)
|
100% |
29
2.31 IPS |
|
|
Object Detection (Q)
|
86% |
264
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
287
3.41 IPS |
|
|
Face Detection (HP)
|
100% |
53
0.63 IPS |
|
|
Face Detection (Q)
|
97% |
672
8.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
358
2.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
113
0.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
610
4.87 IPS |
|
|
Style Transfer (SP)
|
100% |
725
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
520
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1188
1.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.15 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
243
8.99 IPS |
|
|
Text Classification (SP)
|
100% |
142
190.0 IPS |
|
|
Text Classification (HP)
|
100% |
64
85.3 IPS |
|
|
Text Classification (Q)
|
97% |
184
246.1 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
65
1.12 IPS |
|
|
Machine Translation (Q)
|
65% |
284
5.71 IPS |
