Dell Inc. Latitude 5414
Geekbench AI Score
953
Single Precision Score
518
Half Precision Score
1268
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 30 2025 05:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6600U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5414 |
| Motherboard | Dell Inc. 0FY1VN |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
647
120.2 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
96% |
885
165.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
761
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1226
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
900
1.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
1997
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
58% |
680
74.2 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
595
7.07 IPS |
|
|
Face Detection (Q)
|
96% |
2003
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1621
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
714
5.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
2254
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2916
3.75 IPS |
|
|
Style Transfer (HP)
|
100% |
2185
2.81 IPS |
|
|
Style Transfer (Q)
|
87% |
4246
5.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
665
887.1 IPS |
|
|
Text Classification (HP)
|
100% |
391
521.5 IPS |
|
|
Text Classification (Q)
|
97% |
656
878.4 IPS |
|
|
Machine Translation (SP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
68% |
999
19.3 IPS |
