Dell Inc. Latitude 7400
Geekbench AI Score
407
Single Precision Score
952
Half Precision Score
570
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 01:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Latitude 7400 |
| Motherboard | Dell Inc. 07WDVW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
100% |
353
65.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
41
0.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
133
2.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1809
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
1462
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
98% |
459
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
398
32.0 IPS |
|
|
Face Detection (SP)
|
100% |
86
1.02 IPS |
|
|
Face Detection (HP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
523
6.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
146
1.12 IPS |
|
|
Depth Estimation (HP)
|
98% |
2020
15.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1318
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5532
7.11 IPS |
|
|
Style Transfer (HP)
|
100% |
8211
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
4452
5.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
875
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1488
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
745
27.6 IPS |
|
|
Text Classification (SP)
|
100% |
422
562.8 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.7 IPS |
|
|
Text Classification (Q)
|
97% |
253
339.3 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (Q)
|
70% |
233
4.37 IPS |
