Dell Inc. Latitude 7450
Geekbench AI Score
1831
Single Precision Score
4198
Half Precision Score
1434
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | March 18 2025 05:20 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7450 |
| Motherboard | Dell Inc. 0V31NP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
741
137.9 IPS |
|
|
Image Classification (HP)
|
100% |
3145
584.8 IPS |
|
|
Image Classification (Q)
|
100% |
665
123.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4654
75.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
759
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7521
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
7576
8.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
5042
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (HP)
|
99% |
2352
187.1 IPS |
|
|
Object Detection (Q)
|
86% |
621
49.9 IPS |
|
|
Face Detection (SP)
|
100% |
815
9.68 IPS |
|
|
Face Detection (HP)
|
100% |
4574
54.3 IPS |
|
|
Face Detection (Q)
|
97% |
697
8.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
3040
23.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12299
95.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
2811
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18125
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26820
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16144
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3325
122.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5057
186.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2724
100.9 IPS |
|
|
Text Classification (SP)
|
86% |
632
854.3 IPS |
|
|
Text Classification (HP)
|
99% |
630
840.2 IPS |
|
|
Text Classification (Q)
|
84% |
447
606.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1605
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (Q)
|
70% |
607
11.4 IPS |
