Dell Inc. Latitude 3140
Geekbench AI Score
769
Single Precision Score
782
Half Precision Score
1701
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | maf654321 |
| Upload Date | April 29 2025 08:40 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) 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% |
551
102.5 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
100% |
1131
210.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1207
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
648
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
644
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
1883
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (Q)
|
88% |
1103
88.4 IPS |
|
|
Face Detection (SP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1411
16.8 IPS |
|
|
Face Detection (Q)
|
100% |
2831
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
822
6.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
1028
7.92 IPS |
|
|
Depth Estimation (Q)
|
89% |
2716
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1993
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
2034
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
6429
8.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1449
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.8 IPS |
|
|
Text Classification (HP)
|
100% |
680
907.2 IPS |
|
|
Text Classification (Q)
|
92% |
1137
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
100% |
880
15.2 IPS |
