Dell Inc. Latitude 5440
Geekbench AI Score
2146
Single Precision Score
909
Half Precision Score
3274
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 06:59 PM |
| Views | 2 |
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% |
1605
298.4 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
99% |
3533
658.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1899
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3508
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2237
2.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
9995
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (Q)
|
86% |
2857
229.6 IPS |
|
|
Face Detection (SP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
978
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
4720
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4395
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1269
9.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
8057
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8024
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5484
7.05 IPS |
|
|
Style Transfer (Q)
|
98% |
11477
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2407
89.1 IPS |
|
|
Text Classification (SP)
|
100% |
1203
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
505
673.6 IPS |
|
|
Text Classification (Q)
|
97% |
442
592.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
65% |
1591
32.0 IPS |
