Dell Inc. Latitude E7450
Geekbench AI Score
853
Single Precision Score
843
Half Precision Score
944
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | December 05 2024 05:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-5300U CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise Insider Preview (64-bit) |
| Model | Dell Inc. Latitude E7450 |
| Motherboard | Dell Inc. 0D8H72 |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (Q)
|
100% |
562
104.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
625
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
970
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
929
1.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
1166
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (Q)
|
87% |
575
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
1223
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1238
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
1549
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1294
9.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1302
10.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
1465
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2992
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2966
3.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3385
4.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
706
26.2 IPS |
|
|
Text Classification (SP)
|
100% |
636
849.4 IPS |
|
|
Text Classification (HP)
|
100% |
632
843.5 IPS |
|
|
Text Classification (Q)
|
91% |
473
636.3 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
100% |
931
16.0 IPS |
