Dell Inc. Latitude 5340
Geekbench AI Score
1159
Single Precision Score
1181
Half Precision Score
745
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | eduardoteles17 |
| Upload Date | December 10 2025 02:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1365U |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Dell Inc. Latitude 5340 |
| Motherboard | Dell Inc. 04XCP8 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1199
223.1 IPS |
|
|
Image Classification (HP)
|
100% |
1184
220.2 IPS |
|
|
Image Classification (Q)
|
99% |
507
94.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
631
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1061
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1075
1.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
1048
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.3 IPS |
|
|
Object Detection (HP)
|
100% |
790
62.6 IPS |
|
|
Object Detection (Q)
|
85% |
512
41.2 IPS |
|
|
Face Detection (SP)
|
100% |
1546
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
1241
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1214
9.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
1205
9.28 IPS |
|
|
Depth Estimation (Q)
|
63% |
893
8.37 IPS |
|
|
Style Transfer (SP)
|
100% |
1997
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1973
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
2422
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
730
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
653
24.2 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1257
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
507
681.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (Q)
|
58% |
348
8.18 IPS |
