Dell Inc. Latitude 5480
Geekbench AI Score
1054
Single Precision Score
1156
Half Precision Score
790
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | OverclockedCeleron |
| Upload Date | January 11 2026 02:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce 930MX |
| 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% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
99% |
367
68.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
402
6.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
3673
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3635
4.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
3153
3.69 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (Q)
|
83% |
434
35.0 IPS |
|
|
Face Detection (SP)
|
100% |
746
8.87 IPS |
|
|
Face Detection (HP)
|
100% |
933
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
651
7.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
1855
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2027
15.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1498
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6108
7.85 IPS |
|
|
Style Transfer (HP)
|
100% |
6201
7.97 IPS |
|
|
Style Transfer (Q)
|
98% |
4909
6.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1072
39.7 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.2 IPS |
|
|
Text Classification (HP)
|
100% |
469
625.5 IPS |
|
|
Text Classification (Q)
|
97% |
283
378.9 IPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
96% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
70% |
327
6.13 IPS |
