Dell Inc. Latitude 7490
Geekbench AI Score
933
Single Precision Score
455
Half Precision Score
1133
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Bredbandsbandit |
| Upload Date | November 24 2024 07:56 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 7490 |
| Motherboard | Dell Inc. 0R462V |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
698
129.7 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.8 IPS |
|
|
Image Classification (Q)
|
96% |
866
161.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
715
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1296
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
989
1.15 IPS |
|
|
Pose Estimation (Q)
|
87% |
2455
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
86% |
598
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (Q)
|
96% |
1739
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1871
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
646
4.98 IPS |
|
|
Depth Estimation (Q)
|
77% |
1614
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3901
5.02 IPS |
|
|
Style Transfer (HP)
|
100% |
2569
3.30 IPS |
|
|
Style Transfer (Q)
|
87% |
3853
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
747
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
505
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
964
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
558
744.2 IPS |
|
|
Text Classification (HP)
|
100% |
248
331.1 IPS |
|
|
Text Classification (Q)
|
97% |
455
610.0 IPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (Q)
|
60% |
811
18.1 IPS |
