Dell Inc. Latitude 7490
Geekbench AI Score
1228
Single Precision Score
586
Half Precision Score
2002
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 19 2026 03:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8650U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7490 |
| Motherboard | Dell Inc. 0KP0FT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8650U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1090
202.7 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.3 IPS |
|
|
Image Classification (Q)
|
96% |
1758
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
1925
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1669
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
3302
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
58% |
1278
139.7 IPS |
|
|
Face Detection (SP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (Q)
|
96% |
2784
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2301
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
749
5.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
3497
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4202
5.40 IPS |
|
|
Style Transfer (HP)
|
100% |
3321
4.27 IPS |
|
|
Style Transfer (Q)
|
87% |
4584
5.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
913
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1930
71.5 IPS |
|
|
Text Classification (SP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
570
760.3 IPS |
|
|
Text Classification (Q)
|
97% |
899
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
68% |
936
18.1 IPS |
