Dell Inc. Latitude 5490
Geekbench AI Score
1425
Single Precision Score
687
Half Precision Score
2108
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kyfgsdkyhsdmhgfvd |
| Upload Date | October 21 2025 12:54 PM |
| Views | 4 |
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 5490 |
| Motherboard | Dell Inc. 0FDHF4 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (Q)
|
96% |
1943
362.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
1708
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1689
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1636
1.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
3940
4.66 IPS |
|
|
Object Detection (SP)
|
100% |
1101
87.4 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
58% |
1280
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
810
9.62 IPS |
|
|
Face Detection (Q)
|
96% |
3565
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2172
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
822
6.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
3211
25.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4207
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3106
3.99 IPS |
|
|
Style Transfer (Q)
|
87% |
5947
7.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
690
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1497
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.4 IPS |
|
|
Text Classification (Q)
|
97% |
746
999.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1141
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
68% |
1365
26.4 IPS |
