Dell Inc. Latitude E7450
Geekbench AI Score
558
Single Precision Score
326
Half Precision Score
585
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | October 25 2024 11:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-5300U |
| 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% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
96% |
338
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
303
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
655
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (Q)
|
87% |
983
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.4 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
86% |
323
26.0 IPS |
|
|
Face Detection (SP)
|
100% |
676
8.03 IPS |
|
|
Face Detection (HP)
|
100% |
403
4.79 IPS |
|
|
Face Detection (Q)
|
96% |
850
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1002
7.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
502
3.87 IPS |
|
|
Depth Estimation (Q)
|
77% |
855
6.84 IPS |
|
|
Style Transfer (SP)
|
100% |
2127
2.73 IPS |
|
|
Style Transfer (HP)
|
100% |
1625
2.09 IPS |
|
|
Style Transfer (Q)
|
87% |
2168
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
483
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.2 IPS |
|
|
Text Classification (HP)
|
100% |
223
297.7 IPS |
|
|
Text Classification (Q)
|
97% |
392
525.3 IPS |
|
|
Machine Translation (SP)
|
100% |
565
9.72 IPS |
|
|
Machine Translation (HP)
|
100% |
213
3.66 IPS |
|
|
Machine Translation (Q)
|
60% |
487
10.9 IPS |
