Dell Inc. Latitude 3140
Geekbench AI Score
235
Single Precision Score
235
Half Precision Score
438
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maf654321 |
| Upload Date | April 29 2025 11:04 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) 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% |
130
24.1 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.4 IPS |
|
|
Image Classification (Q)
|
100% |
263
48.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (Q)
|
99% |
278
4.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
253
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
589
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (Q)
|
88% |
268
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
397
4.72 IPS |
|
|
Face Detection (HP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (Q)
|
100% |
667
7.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
341
2.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
341
2.63 IPS |
|
|
Depth Estimation (Q)
|
89% |
710
5.52 IPS |
|
|
Style Transfer (SP)
|
100% |
742
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
744
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
1678
2.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
344
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.7 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.6 IPS |
|
|
Text Classification (Q)
|
92% |
275
369.0 IPS |
|
|
Machine Translation (SP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (Q)
|
100% |
303
5.21 IPS |
