Dell Inc. Latitude 3140
Geekbench AI Score
172
Single Precision Score
173
Half Precision Score
99
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maf654321 |
| Upload Date | April 29 2025 08:49 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
107
20.0 IPS |
|
|
Image Classification (Q)
|
99% |
64
11.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
74
1.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
146
0.17 IPS |
|
|
Object Detection (SP)
|
100% |
107
8.45 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.46 IPS |
|
|
Object Detection (Q)
|
85% |
67
5.39 IPS |
|
|
Face Detection (SP)
|
100% |
239
2.84 IPS |
|
|
Face Detection (HP)
|
100% |
240
2.85 IPS |
|
|
Face Detection (Q)
|
97% |
164
1.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
223
1.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
223
1.72 IPS |
|
|
Depth Estimation (Q)
|
63% |
128
1.20 IPS |
|
|
Style Transfer (SP)
|
100% |
368
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
368
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
350
0.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
83
3.07 IPS |
|
|
Text Classification (SP)
|
100% |
141
187.7 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.7 IPS |
|
|
Text Classification (Q)
|
92% |
62
83.2 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (Q)
|
58% |
56
1.33 IPS |
