Dell Inc. Latitude 5440
Geekbench AI Score
1720
Single Precision Score
702
Half Precision Score
2682
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 04:14 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% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (Q)
|
99% |
2842
530.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1322
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2881
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1385
1.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
8296
9.73 IPS |
|
|
Object Detection (SP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
86% |
2451
197.0 IPS |
|
|
Face Detection (SP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4060
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3594
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1036
7.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
6807
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6553
8.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3867
4.97 IPS |
|
|
Style Transfer (Q)
|
98% |
10292
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2086
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
692
923.7 IPS |
|
|
Text Classification (HP)
|
100% |
402
536.5 IPS |
|
|
Text Classification (Q)
|
97% |
330
442.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
65% |
1290
25.9 IPS |
