Dell Inc. Latitude 5440
Geekbench AI Score
2085
Single Precision Score
900
Half Precision Score
3240
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 07:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1335U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5440 |
| Motherboard | Dell Inc. 0F1HCP |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
99% |
3517
655.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1769
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3507
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2183
2.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
9811
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
86% |
2841
228.3 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
4868
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4220
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1238
9.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
7961
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7953
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5302
6.82 IPS |
|
|
Style Transfer (Q)
|
98% |
11681
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2410
89.2 IPS |
|
|
Text Classification (SP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
540
720.2 IPS |
|
|
Text Classification (Q)
|
97% |
428
573.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
65% |
1577
31.7 IPS |
