Dell Inc. Latitude 5480
Geekbench AI Score
1166
Single Precision Score
589
Half Precision Score
1577
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | OverclockedCeleron |
| Upload Date | January 11 2026 02:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7440HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5480 |
| Motherboard | Dell Inc. 0DD5XR |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7440HQ |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
992
184.4 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (Q)
|
96% |
1374
256.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
1659
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1909
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1579
1.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
3369
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
58% |
342
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
942
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
561
6.67 IPS |
|
|
Face Detection (Q)
|
96% |
2812
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2207
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
808
6.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
3054
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4606
5.92 IPS |
|
|
Style Transfer (HP)
|
100% |
3500
4.50 IPS |
|
|
Style Transfer (Q)
|
87% |
5995
7.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1373
50.9 IPS |
|
|
Text Classification (SP)
|
100% |
742
990.0 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.0 IPS |
|
|
Text Classification (Q)
|
97% |
520
696.8 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (Q)
|
68% |
989
19.1 IPS |
