Dell Inc. Latitude 3540
Geekbench AI Score
979
Single Precision Score
947
Half Precision Score
780
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | luisb |
| Upload Date | June 18 2025 12:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Dell Inc. Latitude 3540 |
| Motherboard | Dell Inc. 0N9K15 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
921
171.3 IPS |
|
|
Image Classification (HP)
|
100% |
873
162.4 IPS |
|
|
Image Classification (Q)
|
99% |
530
98.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
628
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1035
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
1175
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
707
56.0 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
85% |
550
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
1424
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1002
7.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
1014
7.81 IPS |
|
|
Depth Estimation (Q)
|
63% |
974
9.13 IPS |
|
|
Style Transfer (SP)
|
100% |
1344
1.73 IPS |
|
|
Style Transfer (HP)
|
100% |
1328
1.71 IPS |
|
|
Style Transfer (Q)
|
98% |
2531
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
850
31.5 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
367
492.9 IPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
58% |
357
8.38 IPS |
